Prasad Patil

Prasad Patil, PhD

Assistant Professor, Biostatistics - Boston University School of Public Health


Dr. Prasad Patil studies machine learning applications in public health and the development of statistical methods focused on reproducibility and replicability. Dr. Patil has specific interest in techniques for combining data from and/or models trained in multiple studies to improve generalizbility of predictive models. Some of his application areas include: gene signatures for assessing Tuberculosis stage, multi-site modeling of air pollution spikes caused by airplane activity, opioid overdose risk modeling in incarcerated populations, longitudinal modleing of well-being indicies, and survey weight estimation for convenience samples of vulnerable/underrepresented populations.

Dr. Patil received his PhD in Biostatistics from the Johns Hopkins Bloomberg School of Public Health and completed a postdoctoral research fellowship at the Harvard Chan School of Public Health Department of Biostatistics/Dana-Farber Cancer Institute Department of Data Science.


  • Johns Hopkins University, PhD Field of Study: Biostatistics
  • New York University, BA Field of Study: Mathematics/Computer Science

Classes Taught

  • SPHBS803
  • SPHBS845


  • Published on 7/29/2023

    Haley BM, Patil P, Levy JI, Spangler KR, Tieskens KF, Carnes F, Peng X, Klevens RM, Troppy TS, Fabian MP, Lane KJ, Leibler JH. Evaluating COVID-19 Risk to Essential Workers by Occupational Group: A Case Study in Massachusetts. J Community Health. 2024 Feb; 49(1):91-99. PMID: 37507525.

    Read At: PubMed
  • Published on 2/21/2023

    Patil P, Peng X, Haley BM, Spangler KR, Tieskens KF, Lane KJ, Carnes F, Fabian MP, Klevens RM, Troppy TS, Leibler JH, Levy JI. Influence of geospatial resolution on sociodemographic predictors of COVID-19 in Massachusetts. Ann Epidemiol. 2023 Apr; 80:62-68.e3. PMID: 36822278.

    Read At: PubMed
  • Published on 1/30/2023

    Wang X, VanValkenberg A, Odom-Mabey AR, Ellner JJ, Hochberg NS, Salgame P, Patil P, Johnson WE. Comparison of gene set scoring methods for reproducible evaluation of multiple tuberculosis gene signatures. bioRxiv. 2023 Jan 30. PMID: 36711818.

    Read At: PubMed
  • Published on 1/1/2023

    Wu Y, Ren B, Patil P. A pairwise strategy for imputing predictive features when combining multiple datasets. Bioinformatics. 2023 Jan 01; 39(1). PMID: 36576001.

    Read At: PubMed
  • Published on 9/26/2022

    Loewinger G, Patil P, Kishida KT, Parmigiani G. Hierarchical resampling for bagging in multistudy prediction with applications to human neurochemical sensing. Ann Appl Stat. 2022 Dec; 16(4):2145-2165. PMID: 36274786.

    Read At: PubMed
  • Published on 9/9/2022

    Schmidt IM, Myrick S, Liu J, Verma A, Srivastava A, Palsson R, Onul IF, Stillman IE, Avillach C, Patil P, Waikar SS. The use of plasma biomarker-derived clusters for clinicopathologic phenotyping: results from the Boston Kidney Biopsy Cohort. Clin Kidney J. 2023 Jan; 16(1):90-99. PMID: 36726432.

    Read At: PubMed
  • Published on 9/2/2022

    Spangler KR, Levy JI, Fabian MP, Haley BM, Carnes F, Patil P, Tieskens K, Klevens RM, Erdman EA, Troppy TS, Leibler JH, Lane KJ. Missing Race and Ethnicity Data among COVID-19 Cases in Massachusetts. J Racial Ethn Health Disparities. 2023 Aug; 10(4):2071-2080. PMID: 36056195.

    Read At: PubMed
  • Published on 8/15/2022

    Mueller SC, Hudda N, Levy JI, Durant JL, Patil P, Lee NF, Weiss I, Tatro T, Duhl T, Lane K. Changes in Ultrafine Particle Concentrations near a Major Airport Following Reduced Transportation Activity during the COVID-19 Pandemic. Environ Sci Technol Lett. 2022 Sep 13; 9(9):706-711. PMID: 36118960.

    Read At: PubMed
  • Published on 12/9/2021

    Flam-Ross JM, Lown J, Patil P, White LF, Wang J, Perry A, Bailer D, McKenzie M, Thigpen A, Newman R, Lincoln M, Mckinney T, Bernson D, Barocas JA. Factors associated with opioid-involved overdose among previously incarcerated people in the U.S.: A community engaged narrative review. Int J Drug Policy. 2022 02; 100:103534. PMID: 34896932.

    Read At: PubMed
  • Published on 11/10/2021

    Spangler KR, Patil P, Peng X, Levy JI, Lane KJ, Tieskens KF, Carnes F, Klevens RM, Erdman EA, Troppy TS, Fabian MP, Leibler JH. Community predictors of COVID-19 cases and deaths in Massachusetts: Evaluating changes over time using geospatially refined data. Influenza Other Respir Viruses. 2022 03; 16(2):213-221. PMID: 34761531.

    Read At: PubMed

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