Education

• M.S. Data Science
  • University of Michigan, 2025 (expected)
  • GPA: 3.85
• B.S. Computer Science
  • Rensselaer Polytechnic Institute, 2022
  • GPA: 3.76

Experience

• May 2025 - Present: AI Policy Researcher
  • U-M Ford School
  • Co-designing equitable and responsible technology for people with disabilities and conducting advocacy work with an interdisciplinary team of computer and social scientists.
  • Supervisor: Shobita Parthasarathy
• February 2025 - Present: AI Alignment Researcher
  • U-M School of Information
  • Developing benchmarks to evaluate LLM understanding of human values using supervised fine-tuning and few-shot prompting experiments across SOTA models.
  • Co-Researcher: Joshua Ashkinaze
• January 2025 - Present: Climate ML Researcher
  • U-M School of Environment and Sustainability and Cooperative Institute for Great Lakes Research
  • Training Convulutional Gaussian Neural Processes to predict surface temperature changes and using meta-learning techniques to identify sensor placements.
  • Supervisor: Dani Jones
• April 2023 - August 2024: Data Scientist
  • The MITRE Corporation
  • Leveraged statistical modeling and built ML applications to inform federal decision-making regarding veteran’s healthcare, demographic data analysis, and global national security risks.
  • Supervisor: Matt Boyas
• Jan 2022 - Aug 2022: Software Engineer Co-op
  • The Janssen Pharmaceutical Companies of Johnson & Johnson
  • Built robust data pipelines to identify promising biotech investments from global research grant applications and enhance R&D portfolio analysis.
  • Supervisor: Matt Brown
• May 2020 - Aug 2020: Undergraduate Researcher
  • Institue for Data Exploration and Applications (RPI IDEA)
  • Used graph algorithms to model COVID-19 and built interactive data tools to aid health officials in implementing successful testing and scheduling protocols.
  • Supervisor: Dr. John Erickson

Skills

• Classification and Regression Analysis
• Deep Learning
  • Graph Neural Networks
  • Convolutional Neural Networks
  • Time Series Analysis
• Statistical Inference
• NLP
• Languages
  • Python (scikit-learn, PyTorch, pandas, NumPy)
  • R, RShiny
  • SQL
  • Java, C++ (OOP)
• Franeworks and Tools
  • Git
  • React
  • AWS
  • Xarray
  • Zarr
  • Linux
  • Docker
  • MLFlow

Teaching

• Computing for Justice (COMPFOR 111)
  • University of Michigan
  • Professor: Dr. Brian Miller
  • Asissted students with in-class labs, held office hours, and graded assignments relating to computing fundamentals, ethical cosiderations, and the history of computing.

Service and Leadership

• 2019-2021: Coding&&Community, Vice President
  • Created introductory open-source computing curriculum for underrepresented and underprivleged middle school and high school students in Web Development and Python.
  • Led free in-person and remote classes and hackathons, and recruited and trained volunteer instructors.
  • Partnered with local organizations to host events and raise funds for club supplies.
• 2022: Lambda Chi Alpha, Vice President
  • Coordinated region-wide food drive and collected 2500 lbs. of food for local food bank.
  • Facilitated philanthropic events raising $3000 for Feeding America and other charitable organizations.