Experience

Graduate Research Assistant — University of Rhode Island

Aug 2022 – Jul 2026

  • Developed scientific modeling, training, and inference workflows on the MGHPCC Unity cluster using Slurm, MPI, parallel Python, and GPU acceleration.
  • Collaborated with researchers across the LIGO Scientific and SXS Collaborations to define requirements, design Python interfaces, review code, and integrate models into shared frameworks.
  • Wrote documentation and tutorials for external users and mentored two undergraduate researchers in Python and computational methods.

Research Computing Facilitator Trainee — Yale University Center for Research Computing

May 2022 – Aug 2022

  • Supported researchers adopting machine learning and data-processing workflows on the MGHPCC Unity cluster as part of the NSF CyberTeam CAREERS program.
  • Engineered a distributed pipeline that processed 5.8 million Wikipedia articles in batches and trained GloVe word embeddings reaching 80% accuracy on standard word-analogy benchmarks.

Teaching Assistant — University of Rhode Island

Aug 2021 – May 2023

  • Taught introductory physics and astronomy, led problem-solving sessions and observation workshops, and provided individual guidance to students.
  • Strengthened the communication practices I now bring to documentation, technical mentoring, and collaboration with researchers from different backgrounds.

Education

PhD, Physics — University of Rhode Island

Aug 2021 – Jul 2026 · GPA 3.99 / 4.00 · Dean's Fellowship, 2024–2025

Dissertation: Advancing Gravitational Wave Modeling for Binary Black Holes: Expanding Parameter Space and Quantifying Uncertainty

MSc, Physics — Indian Institute of Technology Bombay

Jul 2018 – Aug 2020 · GPA 9.17 / 10.00 · Bhavesh Gandhi Memorial Prize for Best M.Sc. Thesis

BSc, Physics — Scottish Church College, University of Calcutta

2014 – 2017

Skills

Programming & Data

  • Python
  • SQL
  • Bash
  • C
  • Fortran
  • MATLAB
  • NumPy
  • SciPy
  • Pandas
  • PostgreSQL
  • SQLAlchemy

Scientific Computing

  • Numerical modeling
  • Reduced-order modeling
  • Singular value decomposition
  • Empirical interpolation
  • Gaussian process regression
  • Bayesian inference
  • Uncertainty quantification
  • Time-series analysis

Machine Learning

  • PyTorch
  • Scikit-learn
  • XGBoost
  • Graph neural networks
  • Temporal modeling
  • Anomaly detection
  • Imbalanced classification
  • Feature engineering
  • Model evaluation
  • NLP

High-Performance Computing

  • Slurm
  • MPI
  • Parallel and distributed workflows
  • GPU acceleration
  • PyTorch
  • CuPy
  • MGHPCC Unity
  • Linux
  • Apptainer

Software Engineering

  • Git & GitHub
  • pytest
  • GitHub Actions
  • pip packaging
  • Code review
  • API design
  • FastAPI
  • Docker
  • Technical documentation
  • Jupyter notebooks

Domain Tools

  • gwsurrogate
  • bilby
  • LALSuite
  • Gravitational-wave modeling
  • Parameter estimation
  • Waveform-systematics analysis

Awards, Talks & Activities

Awards & Funding

  • Dean's Fellowship, University of Rhode Island, 2024–2025
  • NASA Travel Grant ($1,500) for the 15th LISA Symposium, Dublin, 2024
  • Bhavesh Gandhi Memorial Prize for the best M.Sc. thesis, IIT Bombay, 2020
  • Deep Learning Bootcamp Certificate, The Erdős Institute, 2025

Selected Talks

  • American Physical Society April Meetings, 2023 and 2024
  • Eastern Gravity Meeting, 2023
  • University of Glasgow Student Seminar, 2024
  • Brown University IDEA Symposium, 2024
  • 15th LISA Symposium, Dublin, 2024

Professional Communities

LIGO Scientific Collaboration · Simulating eXtreme Spacetimes Collaboration · LISA Consortium · American Physical Society