I use data, machine learning, and deep listening to generate evidence-based, patient-centered knowledge to improve health.
Experience
Postdoctoral Research Associate (2023 - present)
Department of Surgery and Department of Biostatistics, University of North Carolina, Chapel Hill, NC
Mentors: Katharine McGinigle, MD, MPH, and Michael Kosorok, PhD
Graduate research assistant (2017 -2022)
Department of Biostatistics, University of North Carolina, Chapel Hill, NC
Advisor: Michael Kosorok, PhD
Research associate (2015 - 2018)
Center for Advanced Methods Development, Waltham, MA, and Research Triangle Park, NC
Research assistant (2013 - 2015)
Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO
PI: Su-Hsin Chang
Adjunct Instructor (2012 - 2014; 2018-2021)
Department of Mathematics and Statistics, Saint Louis University, St. Louis, MO
Dance artist, educator, and choreographer
Killian Manning/No Forwarding Address, Chapel Hill, NC (2018 - 2020)
Consuming Kinetics Dance Company, St. Louis, MO (2014-2015)
ONE Academy of Dance, Austin, TX (2011 - 2012)
Dance Xplosion, Austin, TX (2010 - 2012)
Blank Slate Dance Company, Durham, NC (2008-2009)
Ninth Street Dance, Durham, NC (2008-2009)
Suzanne's School of Dance, College Station, TX (2006-2007, 2009-2010)
Rhythm Dancers, Midlothian, TX (2000 - 2005, 2007-2008)
Department of Surgery and Department of Biostatistics, University of North Carolina, Chapel Hill, NC
Mentors: Katharine McGinigle, MD, MPH, and Michael Kosorok, PhD
Graduate research assistant (2017 -2022)
Department of Biostatistics, University of North Carolina, Chapel Hill, NC
Advisor: Michael Kosorok, PhD
Research associate (2015 - 2018)
Center for Advanced Methods Development, Waltham, MA, and Research Triangle Park, NC
Research assistant (2013 - 2015)
Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO
PI: Su-Hsin Chang
Adjunct Instructor (2012 - 2014; 2018-2021)
Department of Mathematics and Statistics, Saint Louis University, St. Louis, MO
Dance artist, educator, and choreographer
Killian Manning/No Forwarding Address, Chapel Hill, NC (2018 - 2020)
Consuming Kinetics Dance Company, St. Louis, MO (2014-2015)
ONE Academy of Dance, Austin, TX (2011 - 2012)
Dance Xplosion, Austin, TX (2010 - 2012)
Blank Slate Dance Company, Durham, NC (2008-2009)
Ninth Street Dance, Durham, NC (2008-2009)
Suzanne's School of Dance, College Station, TX (2006-2007, 2009-2010)
Rhythm Dancers, Midlothian, TX (2000 - 2005, 2007-2008)
Training
PhD Biostatistics (2022)
University of North Carolina, Chapel Hill, NC
Advisor: Michael Kosorok, PhD
MA Statistics (2022)
Washington University, St. Louis, MO
Practicum supervisor: M. Victor Wickerhauser, PhD
MA Economics (2009)
Duke University, Durham, NC
BS Economics with mathematics minor (2007)
Texas A&M University, College Station, TX
Cecchetti Ballet Teacher's Exams
Grades 1 - 4
Sponsor: Tracy Davenport
University of North Carolina, Chapel Hill, NC
Advisor: Michael Kosorok, PhD
MA Statistics (2022)
Washington University, St. Louis, MO
Practicum supervisor: M. Victor Wickerhauser, PhD
MA Economics (2009)
Duke University, Durham, NC
BS Economics with mathematics minor (2007)
Texas A&M University, College Station, TX
Cecchetti Ballet Teacher's Exams
Grades 1 - 4
Sponsor: Tracy Davenport
Scientific activities
Research groups
Precision Health and AI Research (PHAIR) Lab
UNC Gillings School of Global Public Health
Executive director: Michael Kosorok, PhD
Role: Associate director
Vascular Precision Medicine Lab
UNC School of Medicine
PI: Katharine McGinigle, MD, MPH
Role: Post-doctoral research associate
MultiDisciplinary Diabetes (MDDM) Research Group
UNC Gillings School of Global Public Health
UNC School of Medicine
PI: Anna Kahkoska, MD, PhD
Precision Health and AI Research (PHAIR) Lab
UNC Gillings School of Global Public Health
Executive director: Michael Kosorok, PhD
Role: Associate director
Vascular Precision Medicine Lab
UNC School of Medicine
PI: Katharine McGinigle, MD, MPH
Role: Post-doctoral research associate
MultiDisciplinary Diabetes (MDDM) Research Group
UNC Gillings School of Global Public Health
UNC School of Medicine
PI: Anna Kahkoska, MD, PhD
Working papers
Calderbank, R., Daubechies, I., Freeman, D., Freeman, N. L. B. Stable phase retrieval for infinite dimensional subspaces of L_2(R). https://arxiv.org/abs/2203.03135
Freeman, N. L. B., Browder, S. E., McGinigle, K. L., Kosorok, M. R. Dynamic treatment regime characterization via a value function surrogate with an application to partial compliance. (Invited revision)
Smith, K., Freeman, N. L. B., Bir, A. Meta-Analysis Found Little Potential Risk of Bias in Evaluations from Round 1 of the Health Care Innovation Awards. (Under review)
Freeman, N. L. B., Muthukkumar, R., Weinstock, R. S., Wickerhauser, M. V., Kahkoska, A. R. Use of machine learning to identify key features associated with severe hypoglycemia in older adults with type 1 diabetes: A post hoc analysis of a case control study. (Under review)
Li, X., Freeman, N. L. B., Wang, L. Q-Learning Based Methods for Dynamic Treatment Regimes. To appear in Precision Medicine: Methods and Applications, a Springer book.
Freeman, N. L. B., Browder, S. E., da Sivla Gomes, V. C., McGinigle, K. L. Balancing evidence-based care with patient-centered individualized care. (Under review)
Calderbank, R., Daubechies, I., Freeman, D., Freeman, N. L. B. Stable phase retrieval for infinite dimensional subspaces of L_2(R). https://arxiv.org/abs/2203.03135
Freeman, N. L. B., Browder, S. E., McGinigle, K. L., Kosorok, M. R. Dynamic treatment regime characterization via a value function surrogate with an application to partial compliance. (Invited revision)
Smith, K., Freeman, N. L. B., Bir, A. Meta-Analysis Found Little Potential Risk of Bias in Evaluations from Round 1 of the Health Care Innovation Awards. (Under review)
Freeman, N. L. B., Muthukkumar, R., Weinstock, R. S., Wickerhauser, M. V., Kahkoska, A. R. Use of machine learning to identify key features associated with severe hypoglycemia in older adults with type 1 diabetes: A post hoc analysis of a case control study. (Under review)
Li, X., Freeman, N. L. B., Wang, L. Q-Learning Based Methods for Dynamic Treatment Regimes. To appear in Precision Medicine: Methods and Applications, a Springer book.
Freeman, N. L. B., Browder, S. E., da Sivla Gomes, V. C., McGinigle, K. L. Balancing evidence-based care with patient-centered individualized care. (Under review)
Peer-reviewed journal articles
Kahkoska, A. R., Freeman, N. L. B., Jones, E. P., Shirazi, D., Browder, S., Page, A., Sperger, J., Zikry, T. M., Yu, F., Busby-Whitehead, J., Kosorok, M. R., and Batsis, J. A. (2022), "Individualized interventions and precision health: Lessons learned from a systematic review and implications for analytics-driven geriatric research," J Am Geriatr Soc. DOI: 10.1111/jgs.18141.
Heindel, P., Dieffenbach, B. V., Freeman, N. L. B., McGinigle, K. L., and Menard, M. T. (2022), "Central concepts for randomized controlled trials and other emerging trial designs," Semin Vasc Surg, 35 (4), 424-430. DOI: 10.1053/j.semvascsurg.2022.10.004.
Adu-Amankwah, A., Bellad, M., Benson, A., Beyuo, T., Bhandankar, M., Charanthimath, U., Chisembele, M., Cole, S., Dhaded, S., Enweronu-Laryea, C., Freeman, B., Freeman, N., Goudar, S., Jiang, X., Kasaro, M., Kosorok, M., Luckett, D., Mbewe, F., Misra, S., Mutesu, K., Nuamah, M., Oppong, S., Patterson, J., Peterson, M., Pokaprakarn, T., Price, J., Pujar, Y., Rouse, D., Sebastiao, Y., Spelke, M., Sperger, J., Stringer, J., Tuuli, M., Valancius, M., and Vwalika, B. (2022), "Limiting adverse birth outcomes in resource-limited settings (LABOR): protocol of a prospective intrapartum cohort study [version 1; peer review: awaiting peer review]," Gates Open Research, 6 (115). DOI: 10.12688/gatesopenres.13716.1.
Kahkoska, A. R., Freeman, N. L. B., and Hassmiller Lich, K. (2022), "Systems-Aligned Precision Medicine—Building an Evidence Base for Individuals Within Complex Systems," JAMA Health Forum, 3 (7), e222334-e222334. DOI: 10.1001/jamahealthforum.2022.2334.
Chung J, Freeman NLB, Kosorok MR, Marston WA, Conte MS, and McGinigle KL. Analysis of a Machine Learning-Based Risk Stratification Scheme for Chronic Limb-Threatening Ischemia. JAMA Network Open 5, no. 3 (March 1, 2022): e223424. https://doi.org/10.1001/jamanetworkopen.2022.3424.
Bergey M, Chiri G, Freeman NLB, Mackie TI. Mapping Mental Health Inequalities: The Intersecting Effects of Gender, Race, Class, and Ethnicity on ADHD Diagnosis. Sociology of Health and Illness. 2022. http://doi.org/10.1111/1467-9566.13443
Crowner JR, Marston WA, Freeman NLB, Sperger J, Austin HD, Steffan M, Farber MA, Chung J, McGinigle KL. The Society for Vascular Surgery Objective Performance Goals for Critical Limb Ischemia are attainable in select patients with ischemic wounds managed with wound care alone. Ann Vasc Surg. 2022 Jan;78:28-35. doi: 10.1016/j.avsg.2021.06.034. Epub 2021 Sep 17. PMID: 34543715.
Khoury AL, McGinigle KL, Freeman NLB, El-Zaatari H, Feltner C, Long JM, the University of North Carolina School of Medicine Enhanced Recovery Program Working Group, Enhanced Recovery After Thoracic Surgery: Systematic Review and Meta-analysis, JTCVS Open(2021), doi: https://doi.org/10.1016/j.xjon.2021.07.007.
Freeman, N. (co-first author), Sperger, J. (co-first author), El-Zaatari, H., Kahkoska, A., Lu, M., Valancius, M., Virkud, A., Zikry, T., Kosorok, M. Beyond two cultures: Cultural infrastructure for data-driven decision support. Observational Studies 7(1), 77-94.
McGinigle, KL, Freeman, NLB, Marston, WA, Farber, A, Conte, MS, Kosorok, MR, Kalbaugh, CA. Precision medicine enables more TNM-like staging in patients with chronic limb threatening ischemia. Front. Cardiovasc. Med. 2021; https://doi.org/10.3389/fcvm.2021.709904
Sperger, J (co-first author), Freeman, NLB (co-first author), Jiang, X, Bang, D, de Marchi, D, Kosorok, MR. The future of precision health is data‐driven decision support. Stat Anal Data Min: The ASA Data Sci Journal. 2020; 1– 7. https://doi.org/10.1002/sam.11475
NLB Freeman, X. Jiang, O. E. Leete, D. J. Luckett, T. Pokaprakarn, M. R. Kosorok. Comment on “Models as approximation, parts I and II.” Statist. Sci. 34 (4) 572 - 574, November 2019.https://doi.org/10.1214/19-STS724
Bir A, Freeman N, Chew R, Smith K, Derzon J, Day T. Making Evidence Actionable: Interactive Dashboards, Bayes, and Health Care Innovation. eGEMs (Generating Evidence & Methods to improve patient outcomes). 2019;7(1):40. DOI: http://doi.org/10.5334/egems.300
Freeman NLB, McGinigle KL, Leese PJ. Using Electronic Medical Records to Identify Enhanced Recovery After Surgery Cases. eGEMs (Generating Evidence & Methods to improve patient outcomes). 2019;7(1):34. DOI: http://doi.org/10.5334/egems.304
McGingle, K., Eldrup-Jorgensen, J., McCall, R., Freeman, N., Pascarella L., Marston WA, & Crowner, J. (2019). Enhanced recovery after surgery for vascular operations: a systematic review and meta-analysis. J Vasc Surg. 17(2):629-640. 10.1016/j.jvs.2019.01.050
Chang, S-H., Freeman, N., Lee, J., Stoll, C., Calhoun, A., Eagon, C., & Colditz, G. (2018). Early major complications after bariatric surgery: a systematic review and meta-analysis, 2003-2014. Obes Rev. 2018 Apr;19(4):529-537. doi: 10.1111/obr.12647.
Freeman, N., Landwehr, J., McKay, T., Derzon, J., & Bir, A. (2017). Profile of justice-involved marijuana and other substance users: demographics, health and health care, family, and justice system experiences. Subst Abuse. 11:1-7. 10.1177/1178221817729381
Smith, K., Bir, A., Freeman, N., Koethe, B., Cohen, J., & Day, T. (2017). Impact of health care delivery system innovations on total cost of care. Health Affairs. 36(3), 509-515. DOI: 10.1377/hlthaff.2016.1308
Kahkoska, A. R., Freeman, N. L. B., Jones, E. P., Shirazi, D., Browder, S., Page, A., Sperger, J., Zikry, T. M., Yu, F., Busby-Whitehead, J., Kosorok, M. R., and Batsis, J. A. (2022), "Individualized interventions and precision health: Lessons learned from a systematic review and implications for analytics-driven geriatric research," J Am Geriatr Soc. DOI: 10.1111/jgs.18141.
Heindel, P., Dieffenbach, B. V., Freeman, N. L. B., McGinigle, K. L., and Menard, M. T. (2022), "Central concepts for randomized controlled trials and other emerging trial designs," Semin Vasc Surg, 35 (4), 424-430. DOI: 10.1053/j.semvascsurg.2022.10.004.
Adu-Amankwah, A., Bellad, M., Benson, A., Beyuo, T., Bhandankar, M., Charanthimath, U., Chisembele, M., Cole, S., Dhaded, S., Enweronu-Laryea, C., Freeman, B., Freeman, N., Goudar, S., Jiang, X., Kasaro, M., Kosorok, M., Luckett, D., Mbewe, F., Misra, S., Mutesu, K., Nuamah, M., Oppong, S., Patterson, J., Peterson, M., Pokaprakarn, T., Price, J., Pujar, Y., Rouse, D., Sebastiao, Y., Spelke, M., Sperger, J., Stringer, J., Tuuli, M., Valancius, M., and Vwalika, B. (2022), "Limiting adverse birth outcomes in resource-limited settings (LABOR): protocol of a prospective intrapartum cohort study [version 1; peer review: awaiting peer review]," Gates Open Research, 6 (115). DOI: 10.12688/gatesopenres.13716.1.
Kahkoska, A. R., Freeman, N. L. B., and Hassmiller Lich, K. (2022), "Systems-Aligned Precision Medicine—Building an Evidence Base for Individuals Within Complex Systems," JAMA Health Forum, 3 (7), e222334-e222334. DOI: 10.1001/jamahealthforum.2022.2334.
Chung J, Freeman NLB, Kosorok MR, Marston WA, Conte MS, and McGinigle KL. Analysis of a Machine Learning-Based Risk Stratification Scheme for Chronic Limb-Threatening Ischemia. JAMA Network Open 5, no. 3 (March 1, 2022): e223424. https://doi.org/10.1001/jamanetworkopen.2022.3424.
Bergey M, Chiri G, Freeman NLB, Mackie TI. Mapping Mental Health Inequalities: The Intersecting Effects of Gender, Race, Class, and Ethnicity on ADHD Diagnosis. Sociology of Health and Illness. 2022. http://doi.org/10.1111/1467-9566.13443
Crowner JR, Marston WA, Freeman NLB, Sperger J, Austin HD, Steffan M, Farber MA, Chung J, McGinigle KL. The Society for Vascular Surgery Objective Performance Goals for Critical Limb Ischemia are attainable in select patients with ischemic wounds managed with wound care alone. Ann Vasc Surg. 2022 Jan;78:28-35. doi: 10.1016/j.avsg.2021.06.034. Epub 2021 Sep 17. PMID: 34543715.
Khoury AL, McGinigle KL, Freeman NLB, El-Zaatari H, Feltner C, Long JM, the University of North Carolina School of Medicine Enhanced Recovery Program Working Group, Enhanced Recovery After Thoracic Surgery: Systematic Review and Meta-analysis, JTCVS Open(2021), doi: https://doi.org/10.1016/j.xjon.2021.07.007.
Freeman, N. (co-first author), Sperger, J. (co-first author), El-Zaatari, H., Kahkoska, A., Lu, M., Valancius, M., Virkud, A., Zikry, T., Kosorok, M. Beyond two cultures: Cultural infrastructure for data-driven decision support. Observational Studies 7(1), 77-94.
McGinigle, KL, Freeman, NLB, Marston, WA, Farber, A, Conte, MS, Kosorok, MR, Kalbaugh, CA. Precision medicine enables more TNM-like staging in patients with chronic limb threatening ischemia. Front. Cardiovasc. Med. 2021; https://doi.org/10.3389/fcvm.2021.709904
Sperger, J (co-first author), Freeman, NLB (co-first author), Jiang, X, Bang, D, de Marchi, D, Kosorok, MR. The future of precision health is data‐driven decision support. Stat Anal Data Min: The ASA Data Sci Journal. 2020; 1– 7. https://doi.org/10.1002/sam.11475
NLB Freeman, X. Jiang, O. E. Leete, D. J. Luckett, T. Pokaprakarn, M. R. Kosorok. Comment on “Models as approximation, parts I and II.” Statist. Sci. 34 (4) 572 - 574, November 2019.https://doi.org/10.1214/19-STS724
Bir A, Freeman N, Chew R, Smith K, Derzon J, Day T. Making Evidence Actionable: Interactive Dashboards, Bayes, and Health Care Innovation. eGEMs (Generating Evidence & Methods to improve patient outcomes). 2019;7(1):40. DOI: http://doi.org/10.5334/egems.300
Freeman NLB, McGinigle KL, Leese PJ. Using Electronic Medical Records to Identify Enhanced Recovery After Surgery Cases. eGEMs (Generating Evidence & Methods to improve patient outcomes). 2019;7(1):34. DOI: http://doi.org/10.5334/egems.304
McGingle, K., Eldrup-Jorgensen, J., McCall, R., Freeman, N., Pascarella L., Marston WA, & Crowner, J. (2019). Enhanced recovery after surgery for vascular operations: a systematic review and meta-analysis. J Vasc Surg. 17(2):629-640. 10.1016/j.jvs.2019.01.050
Chang, S-H., Freeman, N., Lee, J., Stoll, C., Calhoun, A., Eagon, C., & Colditz, G. (2018). Early major complications after bariatric surgery: a systematic review and meta-analysis, 2003-2014. Obes Rev. 2018 Apr;19(4):529-537. doi: 10.1111/obr.12647.
Freeman, N., Landwehr, J., McKay, T., Derzon, J., & Bir, A. (2017). Profile of justice-involved marijuana and other substance users: demographics, health and health care, family, and justice system experiences. Subst Abuse. 11:1-7. 10.1177/1178221817729381
Smith, K., Bir, A., Freeman, N., Koethe, B., Cohen, J., & Day, T. (2017). Impact of health care delivery system innovations on total cost of care. Health Affairs. 36(3), 509-515. DOI: 10.1377/hlthaff.2016.1308
Book chapters
Lohr, K. N. and Freeman, N.(2017). Health Services Research, Overview. In Wiley StatsRef: Statistics Reference Online (eds N. Balakrishnan, T. Colton, B. Everitt, W. Piegorsch, F. Ruggeri and J. L. Teugels). doi:10.1002/9781118445112.stat05325.pub2
Bir, A., Freeman, N., & Wooldridge, J. (2019). Causality and real-world evaluation. In A. Bir & S. Sheingold (Eds.), Evaluation for Health Policy and Health Care: A contemporary and data-driven approach.
Wooldridge, J., Imbens, G., Freeman, N., & Zuckerman, R. (2019). Randomized designs. In A. Bir & S. Sheingold (Eds.), Evaluation for Health Policy and Health Care: A contemporary and data-driven approach.
Wooldridge, J., Imbens, G., Freeman, N., & Zuckerman, R. (2019). Quasi-experimental methods: Propensity score techniques. In A. Bir & S. Sheingold (Eds.), Evaluation for Health Policy and Health Care: A contemporary and data-driven approach.
Wooldridge, J., Imbens, G., Freeman, N., Zuckerman, R., & Sheingold, S. (2019). Quasi-experimental methods: Regression modeling and analysis. In A. Bir & S. Sheingold (Eds.), Evaluation for Health Policy and Health Care: A contemporary and data-driven approach.
Nolan, T., Cromwell, J., van Hasselt, M., & Freeman, N. (2019). Alternative ways of analyzing data in rapid cycle evaluation. In A. Bir & S. Sheingold (Eds.), Evaluation for Health Policy and Health Care: A contemporary and data-driven approach.
Bir, A., Smith, K., Derzon, J., van Hasselt, M., & Freeman, N.(2019). Synthesizing evaluation findings. In A. Bir & S. Sheingold (Eds.), Evaluation for Health Policy and Health Care: A contemporary and data-driven approach.
Lohr, K. N. and Freeman, N.(2017). Health Services Research, Overview. In Wiley StatsRef: Statistics Reference Online (eds N. Balakrishnan, T. Colton, B. Everitt, W. Piegorsch, F. Ruggeri and J. L. Teugels). doi:10.1002/9781118445112.stat05325.pub2
Bir, A., Freeman, N., & Wooldridge, J. (2019). Causality and real-world evaluation. In A. Bir & S. Sheingold (Eds.), Evaluation for Health Policy and Health Care: A contemporary and data-driven approach.
Wooldridge, J., Imbens, G., Freeman, N., & Zuckerman, R. (2019). Randomized designs. In A. Bir & S. Sheingold (Eds.), Evaluation for Health Policy and Health Care: A contemporary and data-driven approach.
Wooldridge, J., Imbens, G., Freeman, N., & Zuckerman, R. (2019). Quasi-experimental methods: Propensity score techniques. In A. Bir & S. Sheingold (Eds.), Evaluation for Health Policy and Health Care: A contemporary and data-driven approach.
Wooldridge, J., Imbens, G., Freeman, N., Zuckerman, R., & Sheingold, S. (2019). Quasi-experimental methods: Regression modeling and analysis. In A. Bir & S. Sheingold (Eds.), Evaluation for Health Policy and Health Care: A contemporary and data-driven approach.
Nolan, T., Cromwell, J., van Hasselt, M., & Freeman, N. (2019). Alternative ways of analyzing data in rapid cycle evaluation. In A. Bir & S. Sheingold (Eds.), Evaluation for Health Policy and Health Care: A contemporary and data-driven approach.
Bir, A., Smith, K., Derzon, J., van Hasselt, M., & Freeman, N.(2019). Synthesizing evaluation findings. In A. Bir & S. Sheingold (Eds.), Evaluation for Health Policy and Health Care: A contemporary and data-driven approach.
Presentations
Freeman, N.L.B.* and Kahkoska, A.R. (2022), “Introduction to Precision Medicine: From Statistics to Society,” Women in Data Science Workshop, Virtual.
Freeman, N.L.B.*, Kahkoska, A.R., McGinigle, K.L., Kosorok, M.R. (2022), “Statistical leadership for increasing translational capacity: co-building an evidence base and a team for precision medicine,” ASA 2022 Women in Statistics and Data Science Conference, St. Louis, Missouri.
McGinigle, K*. and Freeman, N.* (2022), “Machine learning applications in peripheral artery disease,” Machine learning tools for clinical researchers: a pragmatic approach series, UNC Program for Precision Medicine Health Care, Virtual.
Bergey, M.*, Chiri, G., Freeman, N., and Mackie, T. (2020), “Examining intersections in diagnostic disparities for children and adolescent behavioral health,” American Sociological Association, Virtual.
McGinigle, K. L.*, Freeman, N. L. B., Farber, A., and Kalbaugh, C. A. (2020), “Precision Medicine Can Combine Existing Staging Systems to Predict Survival of Patients with Chronic Limb Threatening Ischemia,” Journal of the American College of Surgeons, 231, e68–e69. https://doi.org/10.1016/j.jamcollsurg.2020.08.167.
Bergey, M.*, Chiri, G., Freeman, N., and Mackie, T. (2019), “Exploring the intersection of multiple social identities and ADHD diagnosis,” Closing the Gap: Roundtable on addressing mental health impacts of discrimination and parity at the APHA Annual Meeting, Philadelphia, PA.
Bir, A.*, Freeman, N., Chew, R., Smith, K., Wenger, M., Underwood, M., van Hasselt, M., and Day, T. (2018), “Making Bayesian analyses accessible through visualization: case study: meta-evaluation of the Health Care Innovation Awards,” Podium presentation for the Center for Medicare and Medicaid Innovation Agenda and Communicating Complex Evaluation Results to Policy Makers session at the Academy Health Annual Research Meeting, Seattle, WA.
Bir, A.*, Freeman, N., Chew, R., Smith, K., Wenger, M., Underwood, M., van Hasselt, M., and Day, T. (2018), “Making Bayesian analyses accessible through visualization: case study: meta-evaluation of the Health Care Innovation Awards,” Panel presentation for Bayesian Methods: Innovative Applications in Research Design, Program Evaluation, and Policy Analysis at the APPAM Fall Research Conference, Washington, DC.
Freeman, N.*, Smith, K., van Hasselt, M., Kane, H., Cohen, J., Emery, K., Bir, A., and Day, T. (2017), “Comparison of frequentist and Bayesian methods on meta-analysis of the Health Care Innovation Awards,” Poster, Academy Health Annual Research Meeting.
Chang, E.*, Cohen, J., Freeman, N., Koethe, B., Smith, K., and Bir, A. (2016), “Time allocation and job satisfaction among non-traditional healthcare workers in healthcare innovation initiatives,” Poster, Academy Health Annual Research Meeting, Boston, MA.
Cohen, J., Smith, K., Chang, E.*, Koethe, B., Freeman, N., and Bir, A. (2016), “Workplace characteristics and job satisfaction in health care innovation initiatives,” Poster, Academy Health Annual Research Meeting, Boston, MA.
Freeman, N., Stoll, C., Carlsson, N., Calhoun, A., Eagon, C., Colditz, G., and Chang, S. H.* (2015), “Major early complications following bariatric surgery: A systematic review and meta-analysis,” Meeting of the International Society for Pharmacoeconomics and Outcomes Research, Philadelphia, PA.
Chang, S. H.*, Stoll, C., Song, J., Calhoun, A., Freeman, N., Esteban Varela, J., and Colditz, G. (2013), “Complications after bariatric surgery: A systematic review and meta-analysis,” Annual Meeting of the Society for Medical Decision Making, Baltimore, MD.
Freeman, N.L.B.* and Kahkoska, A.R. (2022), “Introduction to Precision Medicine: From Statistics to Society,” Women in Data Science Workshop, Virtual.
Freeman, N.L.B.*, Kahkoska, A.R., McGinigle, K.L., Kosorok, M.R. (2022), “Statistical leadership for increasing translational capacity: co-building an evidence base and a team for precision medicine,” ASA 2022 Women in Statistics and Data Science Conference, St. Louis, Missouri.
McGinigle, K*. and Freeman, N.* (2022), “Machine learning applications in peripheral artery disease,” Machine learning tools for clinical researchers: a pragmatic approach series, UNC Program for Precision Medicine Health Care, Virtual.
Bergey, M.*, Chiri, G., Freeman, N., and Mackie, T. (2020), “Examining intersections in diagnostic disparities for children and adolescent behavioral health,” American Sociological Association, Virtual.
McGinigle, K. L.*, Freeman, N. L. B., Farber, A., and Kalbaugh, C. A. (2020), “Precision Medicine Can Combine Existing Staging Systems to Predict Survival of Patients with Chronic Limb Threatening Ischemia,” Journal of the American College of Surgeons, 231, e68–e69. https://doi.org/10.1016/j.jamcollsurg.2020.08.167.
Bergey, M.*, Chiri, G., Freeman, N., and Mackie, T. (2019), “Exploring the intersection of multiple social identities and ADHD diagnosis,” Closing the Gap: Roundtable on addressing mental health impacts of discrimination and parity at the APHA Annual Meeting, Philadelphia, PA.
Bir, A.*, Freeman, N., Chew, R., Smith, K., Wenger, M., Underwood, M., van Hasselt, M., and Day, T. (2018), “Making Bayesian analyses accessible through visualization: case study: meta-evaluation of the Health Care Innovation Awards,” Podium presentation for the Center for Medicare and Medicaid Innovation Agenda and Communicating Complex Evaluation Results to Policy Makers session at the Academy Health Annual Research Meeting, Seattle, WA.
Bir, A.*, Freeman, N., Chew, R., Smith, K., Wenger, M., Underwood, M., van Hasselt, M., and Day, T. (2018), “Making Bayesian analyses accessible through visualization: case study: meta-evaluation of the Health Care Innovation Awards,” Panel presentation for Bayesian Methods: Innovative Applications in Research Design, Program Evaluation, and Policy Analysis at the APPAM Fall Research Conference, Washington, DC.
Freeman, N.*, Smith, K., van Hasselt, M., Kane, H., Cohen, J., Emery, K., Bir, A., and Day, T. (2017), “Comparison of frequentist and Bayesian methods on meta-analysis of the Health Care Innovation Awards,” Poster, Academy Health Annual Research Meeting.
Chang, E.*, Cohen, J., Freeman, N., Koethe, B., Smith, K., and Bir, A. (2016), “Time allocation and job satisfaction among non-traditional healthcare workers in healthcare innovation initiatives,” Poster, Academy Health Annual Research Meeting, Boston, MA.
Cohen, J., Smith, K., Chang, E.*, Koethe, B., Freeman, N., and Bir, A. (2016), “Workplace characteristics and job satisfaction in health care innovation initiatives,” Poster, Academy Health Annual Research Meeting, Boston, MA.
Freeman, N., Stoll, C., Carlsson, N., Calhoun, A., Eagon, C., Colditz, G., and Chang, S. H.* (2015), “Major early complications following bariatric surgery: A systematic review and meta-analysis,” Meeting of the International Society for Pharmacoeconomics and Outcomes Research, Philadelphia, PA.
Chang, S. H.*, Stoll, C., Song, J., Calhoun, A., Freeman, N., Esteban Varela, J., and Colditz, G. (2013), “Complications after bariatric surgery: A systematic review and meta-analysis,” Annual Meeting of the Society for Medical Decision Making, Baltimore, MD.
Technical reports
Bir, A., Smith, K., Kahwati, L., Derzon, J., Freeman, N., Emery, K., Stockdale, H., Cohen, J., Koethe, B., Kane, H., Liebling, E. (2018) Health Care Innovation Awards (HCIA) Meta-Analysis and Evaluators Collaborative. Annual Report Year 3. Prepared for Centers for Medicare & Medicaid Services, Center for Medicare & Medicaid Innovation.
Bir, A., Smith, K., Kahwati, L., Kane, H., Freeman, N., Emery, K., Derzon, J., Stockdale, H., Reddy, S., Cohen, J., Koethe, B., Green, J. (2017) Health Care Innovation Awards (HCIA) Meta-Analysis and Evaluators Collaborative. Annual Report Year 2. Prepared for Centers for Medicare & Medicaid Services, Center for Medicare & Medicaid Innovation.
Cohen, M., Russo, A., Kennell, D., Irie, S., Derzon, J., Smith, K., Bir, A., Chang, E., Emery, K., Parish, W., Kandilov, A., Kane, H., Reddy, S., Cohen, J., Freeman, N., Cromwell, J. (2018) Systematic Review of CMMI Primary Care Initiatives Final Report. Prepared for Centers for Medicare & Medicaid Services, Center for Medicare & Medicaid Innovation.
Bir, A., Smith, K., Kahwati, L., Derzon, J., Freeman, N., Emery, K., Stockdale, H., Cohen, J., Koethe, B., Kane, H., Liebling, E. (2018) Health Care Innovation Awards (HCIA) Meta-Analysis and Evaluators Collaborative. Annual Report Year 3. Prepared for Centers for Medicare & Medicaid Services, Center for Medicare & Medicaid Innovation.
Bir, A., Smith, K., Kahwati, L., Kane, H., Freeman, N., Emery, K., Derzon, J., Stockdale, H., Reddy, S., Cohen, J., Koethe, B., Green, J. (2017) Health Care Innovation Awards (HCIA) Meta-Analysis and Evaluators Collaborative. Annual Report Year 2. Prepared for Centers for Medicare & Medicaid Services, Center for Medicare & Medicaid Innovation.
Cohen, M., Russo, A., Kennell, D., Irie, S., Derzon, J., Smith, K., Bir, A., Chang, E., Emery, K., Parish, W., Kandilov, A., Kane, H., Reddy, S., Cohen, J., Freeman, N., Cromwell, J. (2018) Systematic Review of CMMI Primary Care Initiatives Final Report. Prepared for Centers for Medicare & Medicaid Services, Center for Medicare & Medicaid Innovation.
Awards
Student Travel Award, ASA Women in Statistics and Data Science, 2022
Honorable Mention, Student nominated service award, University of North Carolina, 2022
BD2K Trainee, University of North Carolina, 2017
First-year Fellowship, Duke University, 2008
Rudder Award Runner-up, Texas A&M 2008
Gathright Scholar, Texas A&M, 2007
University Scholar, Texas A&M University, 2006
Lechner Fellowship, Texas A&M University, 2005
Executive Women's International Scholarship, 2004
Student Travel Award, ASA Women in Statistics and Data Science, 2022
Honorable Mention, Student nominated service award, University of North Carolina, 2022
BD2K Trainee, University of North Carolina, 2017
First-year Fellowship, Duke University, 2008
Rudder Award Runner-up, Texas A&M 2008
Gathright Scholar, Texas A&M, 2007
University Scholar, Texas A&M University, 2006
Lechner Fellowship, Texas A&M University, 2005
Executive Women's International Scholarship, 2004
Teaching
Saint Louis University, Saint Louis, Missouri
- Summer 2021
- Instructor of record, MATH 1300 Elementary statistics with computers, 1 section asynchronous online
- Summer 2020
- Instructor of record, MATH 1300 Elementary statistics with computers, 1 section asynchronous online
- Summer 2019
- Instructor of record, MATH 1300 Elementary statistics with computers, 1 section asynchronous online
- Summer 2018
- Instructor of record and course developer, MATH 1300/STAT 1300 Elementary statistics with computers, 1 section asynchronous online
- Fall 2014
- Instructor of record, MATH 393 Financial mathematics, 1 section of in-person instruction
- Instructor of record, MATH 1300 Elementary statistics with computers, 2 sections of in-person instruction
- Spring 2014
- Instructor of record, MATH 1300 Elementary statistics with computers, 2 sections of in-person instruction
- Fall 2013
- Instructor of record, MATH 393 Financial mathematics, 1 section of in-person instruction
- Instructor of record, MATH 1300 Elementary statistics with computers, 2 sections of in-person instruction
- Spring 2013
- Instructor of record, MATH 1300 Elementary statistics with computers, 2 sections of in-person instruction
- Fall 2012
- Instructor of record, MATH 122 Finite mathematics, 1 section of in-person instruction
- Instructor of record, MATH 393 Financial mathematics, 1 section of in-person instruction