Curriculum Vitae

Education

  • Ph.D. Statistics, Department of Statistics, Virginia Tech, May 2026 (Anticipated)

    Advisors: Dr. Robert B. Gramacy, Dr. Leah R. Johnson.

    Research Interests: Bayesian Statistics, Gaussian Processes, Model Calibration, Surrogate Modelling, Forecasting.

  • M.Sc. Statistics Department of Statistics, University of Mumbai, India, Oct 2020

  • B.Sc. Statistics Ramnarain Ruia Autonomous College, Mumbai, India, May 2018

Experience

  • Statistical Collaborator, Statistical Applications and Innovations Group, Virginia Tech

    Assisted 15+ clients from industry and academia with designing their experiments, performing analysis, creating useful visuals, and provided guidance in methods that can be used to answer their research questions. Conducted weekly walk-in sessions to guide clients with their analyses and approve methodologies, and troubleshoot or debug code as necessary. Developed, reviewed, taught, and piloted short courses such as Linear Regression, Mixed Models and Bootstrapping in R.

  • Graduate Teaching Assistant, Virginia Tech

    Assisted with grading assignments for 50-100 students enrolled in graduate and undergraduate courses such as Biological Statistics, Engineering Statistics, Design of Experiments as well as a course in Computational Modelling and Data Analysis. Held office hours to help students with the course, provided guidance and cleared concepts one on one.

  • Quality Control Intern, Xpress Minds Edutainment Pvt. Ltd., India

    Applied Six Sigma techniques to minimize the time spent while optimizing the number of registrations and increased the total number of registrations from 700,000 to 1 million. Performed weekly quality and hygiene audits to ensure productivity of 20+ business development executives were up to the mark. Forecasted the expected daily number of registrations for the upcoming month based on historical daily data from the past year.

Presentations

  • Workshop: “Gaussian Process Modeling for Time Dependent Data”
    • VectorByte training workshop at Notre Dame in June 2025.
    • Ecological Forecasting Initiative Conference workshop at Virginia Tech, Blacksburg n June 2025.
    • VectorByte training workshop at Virginia Tech Research Centre, Washington D.C in July 2024.
  • Poster: “Gaussian Process Forecasting for Tick Population Dynamics”
    • Presented at Ecological Forecasting Initiative (EFI) Conference at Virginia Tech, Blacksburg in May 2025.
    • Kernel Methods in Uncertainty Quantification and Experimental Design (IMSI workshop) at University of Chicago in March 2025.
    • Presented at Corporate Partners at Virginia Tech in November 2024.
    • Presented at International Society of Bayesian Analysis World Meeting (ISBA) at Ca’ Foscari University, Venice, Italy in July 2024.
    • Presented at Women in Data Science (WiDS) Conference at Virginia Tech in February 2024.

Publications

  1. Patil, P. V. bhetGP: Bayesian Heteroskedastic Gaussian Processes (CRAN package)

  2. Patil, P. V., et al. (2025) Vecchia approximated Bayesian heteroskedastic Gaussian processes. (submitted)

  3. Patil, P. V., et al. (2025) Gaussian process forecasting for sparse ecological time series. (submitted)

  4. Resler ,L. M., Patil P. V., et al. (2024). Patterns of native and invasive lianas of Virginia’s Ridge and Valley forests in relation to land use history (Southeastern Geographer.)