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

PhD, Johns Hopkins University




Dr. Patil is a former postdoctoral research fellow at the Harvard Chan School of Public Health Department of Biostatistics/Dana-Farber Cancer Institute Department of Biostatistics and Computational Biology with Giovanni Parimigiani. He completed his PhD in Biostatistics from the Johns Hopkins Bloomberg School of Public Health with Jeff Leek. His professional interests include personalized medicine, genomics, prediction, data visualization, and study reproducibility/replicability.

Dr. Patil is currently working on:
- Multi-study prediction
- Statistical definitions for reproducibility and replicability.
- Stable and interpretable prediction methods for gene expression data. The contexts are cancer risk classifcation and survival prediction.
- Assessing the additional value a genomic signature can provide beyond standard clinical measurements in a randomized trial setting.
- Interactive health visualizations executable in one line from R.
- Automated analysis templates with the ability to compare results after parameters have been changed.


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. 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.View Related Profiles. PMID: 34896932; PMCID: PMC8810696; DOI: 10.1016/j.drugpo.2021.103534;
     
  2. 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.View Related Profiles. PMID: 34761531; PMCID: PMC8652977; DOI: 10.1111/irv.12926;
     
  3. Tieskens KF, Patil P, Levy JI, Brochu P, Lane KJ, Fabian MP, Carnes F, Haley BM, Spangler KR, Leibler JH. Time-varying associations between COVID-19 case incidence and community-level sociodemographic, occupational, environmental, and mobility risk factors in Massachusetts. BMC Infect Dis. 2021 Jul 16; 21(1):686.View Related Profiles. PMID: 34271870; PMCID: PMC8283097; DOI: 10.1186/s12879-021-06389-w;
     
  4. Zhang Y, Patil P, Johnson WE, Parmigiani G. Robustifying genomic classifiers to batch effects via ensemble learning. Bioinformatics. 2021 07 12; 37(11):1521-1527.View Related Profiles. PMID: 33245114; PMCID: PMC8485848; DOI: 10.1093/bioinformatics/btaa986;
     
  5. Tieskens K, Patil P, Levy JI, Brochu P, Lane KJ, Fabian MP, Carnes F, Haley BM, Spangler KR, Leibler JH. Time-varying associations between COVID-19 case incidence and community-level sociodemographic, occupational, environmental, and mobility risk factors in Massachusetts. Res Sq. 2021 Feb 17.View Related Profiles. PMID: 33619475; PMCID: PMC7899469; DOI: 10.21203/rs.3.rs-237622/v1;
     
  6. Nudel J, Bishara AM, de Geus SWL, Patil P, Srinivasan J, Hess DT, Woodson J. Development and validation of machine learning models to predict gastrointestinal leak and venous thromboembolism after weight loss surgery: an analysis of the MBSAQIP database. Surg Endosc. 2021 01; 35(1):182-191.View Related Profiles. PMID: 31953733; PMCID: PMC9278895; DOI: 10.1007/s00464-020-07378-x;
     
  7. Ramchandran M, Patil P, Parmigiani G. Tree-Weighting for Multi-Study Ensemble Learners. Pac Symp Biocomput. 2020; 25:451-462. PMID: 31797618; PMCID: PMC6980320
     
  8. Patil P, Peng RD, Leek JT. Publisher Correction: A visual tool for defining reproducibility and replicability. Nat Hum Behav. 2019 Aug; 3(8):886. PMID: 31358976
     
  9. Patil P, Peng RD, Leek JT. A visual tool for defining reproducibility and replicability. Nat Hum Behav. 2019 07; 3(7):650-652. PMID: 31209370
     
  10. Patil P, Parmigiani G. Training replicable predictors in multiple studies. Proc Natl Acad Sci U S A. 2018 03 13; 115(11):2578-2583. PMID: 29531060; PMCID: PMC5856504; DOI: 10.1073/pnas.1708283115;
     
Showing 10 of 19 results. Show More

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

Bar chart showing 19 publications over 10 distinct years, with a maximum of 5 publications in 2021

YearPublications
20101
20111
20122
20141
20152
20162
20181
20192
20202
20215

Contact for Mentoring:
Patil's Networks
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