Piyush Chaudhari
  • Home
  • CV
  • Research
  • p.log()

Curriculum Vitae

📍 Gainesville, Florida

✉️ piyushchaudhari@ufl.edu

🌐 pc-piyush.github.io


Summary

I work in the intersection of Statistics and Machine Learning, and their applications in Clinical Informatics, Modeling and Computation, and Data Democratization

Research Interests

  • Statistical Machine Learning
  • Clinical Informatics and Decision Support
  • Patient Representation Learning
  • Phenotyping and Sub-Phenotyping
  • Privacy-Preserving Zero Knowledge Learning
  • Data Democratization

Technical Skills

Programming

Python | R | SQL | SAS | Markdown

Common Data Models

OMOP | i2b2 | PCORNET | EPIC Clarity | EPIC Caboodle | EPIC Cosmos

Softwares and Packages

MS Power BI | SPSS | RedCAP | ArcGIS | Git | SAP Data Services | SAP Business Objects

Education

PhD in Biomedical Informatics (currently pursuing)

University of Florida | Gainesville, FL (2025-current)

Master of Science in Biostatistics

University of Florida | Gainesville, FL (2016-2018)

Bachelor of Technology in Biotechnology

Vellore Institute of Technology | India (2012 - 2016)

Work Experience

Data Managment Analyst III

UF Health Integrated Data Repository (Feb 2023 - Current)

  • Designing and developing data science pipelines to improve the coverage and quality of data for UF Health Research Enterprise
  • Curating data elements from EPIC Clarity and Caboodle and make them available for use in interdisciplinary research projects
  • Developing Extract Transform Load (ETL) pipelines to deploy and validate data in Common Data Models like OMOP, PCORNET and i2b2
  • Maintaining databases for free-text sources like clinical notes, order and pathology reports, social determinants of health variables, genetic testing data, and additional health data sources
  • Building patient-centric Digital Twin technology for UF Health Enterprise and implementing in i2b2 to improve cohort phenotyping
  • Liasioning as an honest broker between researchers and UF Health/Shands data server to provision access to data based on IRB approved research protocols
  • Currently working on projects involving UF Health, UF Cancer Institute, UF Clinical and Translational Science Institute, UF College of Medicine, UF College of Nursing, UF College of Dentistry, and OneFlorida+ Clinical Research Consortium
  • Selected accomplishments
    • 10x+ improvement in data delivery for free-text clinical notes and order reports
    • 5x+ improvement in data delivery through OMOP Common Data Model
    • 5x+ improvement for custom de-identification for data delivery

Data Managment Analyst II

UF Department of Epidemiology (Jun 2018-Jan 2023)

  • Conducted statistical analyses, data management and quality control at UF HealthStreet (substance abuse and public health epidemiology data) for ~13,000 individuals across 700 data points
  • Created visualizations, hotspots and heatmap analysis for intervention planning
  • Worked with UF Integrated Data Repository to link self-reported data from community members to their Electronic Health Records at UF Health, analyzing data from UF Survey Research Center, BEBR
  • Provided technical support for DSM-V software (developed on MS Access)
TodoSelected Grants: Lead Statistician and Data Management Analyst
  • Program to Alleviate National Disparities in Ethnic and Minority Immunizations in the Community, Vaccination and Vaccine Education Focus Principal Investigator: Linda B. Cottler (Funded by CDC)
  • Women Helping Women- Lung Cancer Screening Study Principal Investigator: Catherine W. Striley; (Funded by UF Cancer Center; IRB202100009)
  • Community Engagement and Research Program- HealthStreet Principal Investigator: Linda B. Cottler, (Funded by NIH NCATS; IRB201600459)
  • Precision Public Health Approaches to Reduce Disparities in Memory Disorder Screening in Rural Minority Communities Principal Investigator: Linda B. Cottler (Funded by FL Department of Health)
  • Study of Non-Oral Administration of Prescription Stimulants Principal Investigator: Linda B. Cottler (Funded by Arbor Pharmaceuticals)

Graduate Research Statistician

UF Department of Biostatistics (Aug 2017-May 2018)

  • Involved in data reconfiguration, management, and consulting for the Southeastern and Coastal Center for Agricultural Safety and Health (SEC-CAgSH)

Teaching and Mentorship

  • Currently assisting with syllabus design and curation of classroom materials for GMS 6803 Data Science for Clinical Research (Fall 2026)
    • Course instructors: Drs. Yi Guo and Mei Liu
  • Conducting i2b2 and OHDSI ATLAS training workshops for professionally diverse cohorts like medical students, residents, clinical faculty, research staff and students at UF Health and other national research partners (OneFlorida+) from (Feb 2023 - Current)
  • Mentored for EGN 4912 Engineering Directed Independent Research undergraduate program (Spring 2026)
  • Managed statistical design and provided research mentorship for graduate students and postdoctoral fellows working on Cottlerlab legacy and ongoing research data (Jun 2018 - Jan 2023)

Publications

You can find my publications in the Research tab or at my Google Scholar page

Awards and Scholarships

  • Emerging Research Scholars PhD Fellow (Aug 2025 - Dec 2026)
  • University of Florida Superior Accomplishment Award
    • University-Gold Award for Individual Employee Performance in Finance, Research, and Compliance (Apr 2025)
    • Division-Level Winner (Division 5- Health Affairs) for Individual Employee Performance (Mar 2025)

Certifications

  • Completed EPIC-led coursework for Cosmos (2025), Cogito, Clarity Data Model, Caboodle Data Model and Clinical Data Model (2024)
  • SAS Certified Specialist: Base Programming Using SAS 9.4 (2022)
  • Design for Six Sigma (License: 13361772) and Six Sigma Green Belt Certified (License: 13361771) (2018)

References

Available upon request

Made with Quarto. Piyush Chaudhari 2026