Prasad Patil, PhD
Assistant Professor
Boston University School of Public Health
Biostatistics

PhD, Johns Hopkins University
BA, New York University



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.


Addressing an inherent bias in neuroprognostication: A collaboration between the US and Brazil to reduce the impact of Self-fulfilling Prophecy in cardiac ARrEst (SPARE)
01/22/2024 - 12/31/2028 (Subcontract PI)
Boston Medical Center Corporation NIH NINDS
1R01NS128342-01A1

Removing batch effects in high-throughput biomedical studies
09/27/2023 - 08/31/2027 (Multi-PI)
PI: Prasad Patil, PhD
Rutgers, The State University of New Jersey NIH NIGMS
5R01GM127430-07

Development of a novel community-based high-performance surveillance network for drug use
11/01/2021 - 07/31/2024 (Subcontract PI)
Regents of the University of Colorado, on behalf of The University of Colorado Denver NIH NIDA
7DP2DA051864-02



Title


Yr Title Project-Sub Proj Pubs

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

iCite Analysis       Copy PMIDs To Clipboard

  1. Wang X, Harper K, Sinha P, Johnson WE, Patil P. Analysis of the cross-study replicability of tuberculosis gene signatures using 49 curated human transcriptomic datasets. Tuberculosis (Edinb). 2025 May 08; 153:102649.View Related Profiles. PMID: 40359654
     
  2. Wang X, VanValkenberg A, Odom AR, Ellner JJ, Hochberg NS, Salgame P, Patil P, Johnson WE. Comparison of gene set scoring methods for reproducible evaluation of tuberculosis gene signatures. BMC Infect Dis. 2024 Jun 20; 24(1):610.View Related Profiles. PMID: 38902649; PMCID: PMC11191245; DOI: 10.1186/s12879-024-09457-z;
      Article has an altmetric score of 1
  3. Yamkovoy K, Patil P, Dunn D, Erdman E, Bernson D, Swathi PA, Nall SK, Zhang Y, Wang J, Brinkley-Rubinstein L, LeMasters KH, White LF, Barocas JA. Using decision tree models and comprehensive statewide data to predict opioid overdoses following prison release. Ann Epidemiol. 2024 Jun; 94:81-90.View Related Profiles. PMID: 38710239; PMCID: PMC11117432; DOI: 10.1016/j.annepidem.2024.04.011;
      Article has an altmetric score of 1
  4. Nall SK, Jurecka C, Ammons A, Rodriguez A, Craft B, Waleed C, Dias D, Henderson J, Boyer J, Yamkovoy K, Swathi PA, Patil P, Behne F, LeMasters K, Brinkley-Rubinstein L, Barocas JA. Identifying structural risk factors for overdose following incarceration: a concept mapping study. Health Justice. 2024 Mar 12; 12(1):11.View Related Profiles. PMID: 38472497; PMCID: PMC10936003; DOI: 10.1186/s40352-024-00265-w;
      Article has an altmetric score of 11
  5. 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.View Related Profiles. PMID: 37507525; PMCID: PMC10823035; DOI: 10.1007/s10900-023-01249-x;
     
  6. Li T, Zhang Y, Patil P, Johnson WE. Overcoming the impacts of two-step batch effect correction on gene expression estimation and inference. Biostatistics. 2023 Jul 14; 24(3):635-652.View Related Profiles. PMID: 34893807; PMCID: PMC10449015; DOI: 10.1093/biostatistics/kxab039;
      Article has an altmetric score of 3
  7. 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.View Related Profiles. PMID: 36822278; PMCID: PMC9942453; DOI: 10.1016/j.annepidem.2023.02.007;
      Article has an altmetric score of 2
  8. 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.View Related Profiles. PMID: 36711818; PMCID: PMC9882404; DOI: 10.1101/2023.01.19.520627;
      Article has an altmetric score of 3
  9. 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; PMCID: PMC9835467; DOI: 10.1093/bioinformatics/btac839;
      Article has an altmetric score of 3
  10. 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; PMCID: PMC9586160; DOI: 10.1214/21-aoas1574;
     
Showing 10 of 32 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 32 publications over 14 distinct years, with a maximum of 5 publications in 2021 and 2023

YearPublications
20101
20111
20122
20141
20152
20162
20181
20192
20202
20215
20224
20235
20243
20251

Contact for Mentoring:

617.358.2518
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