Completed mentoring an undergraduate MQP team through the design and development of LEMURS RADAR, a visual analytics dashboard that supports clinicians in identifying and monitoring suicide risk among college students. Work has been submitted to HICSS 2027.

Options Without Agency paper accepted for publication at FAccT 2026.

KRONE paper accepted for publication at ICDE 2026.

Elected to be the president of the Data Science/AI Council at WPI. A student-run organization that builds community by organizing networking events, professional development workshops, research seminars, and collaborative initiatives connecting students, faculty, and industry professionals.

Presented poster titled "Learning from the Unseen: Unsupervised Anomaly Generation for Improved Anomaly Detection" at North East Database Day 2026. The poster demonstrated my research on improving unsupervised anomaly detection through embedding-guided synthetic anomaly generation for more effective model training.

Completed summer internship at Nokia Bell Labs where I developed a novel anomaly detection system for multi-agentic AI systems resulting in two patents currently under submission.

Presented my paper "Agree to Disagree: Robust Anomaly Detection with Noisy Labels" at ACM SIGMOD 2025 in Berlin Germany.

Awarded 1st place and a travel grant at WPI's Graduate Research Innovation Exchange where I presented a poster highlighting my research on deep learning for anomaly detection.

Presented a poster titled "Finding Clarity in Chaos: Leveraging Noisy Labels for Superior Anomaly Detection" at the North East Database Day 2025. The poster showcased my research on enhancing anomaly detection by framing it as a learning-from-noisy-labels problem, where anomaly detection is improved through the refinement of noisy pseudo labels.

Awarded the WPI Data Science Leadership Award. This award recognizes a Data Science graduate student for outstanding leadership in the department, on campus, and beyond.

Elected to be Vice President of the Data Science/AI Council at WPI.

Agree to Disagree: Robust Anomaly Detection with Noisy Labels accepted at ACM SIGMOD 2025.

Counterfactual Explanation Analytics demo paper accepted at VLDB 2024.

Pluto accepted at ACM SIGMOD 2025.

Awarded the WPI Data Science Graduate Community Building Award. This award recognizes a Data Science graduate student for outstanding commitment to building community in the department, on campus, and beyond.

Successfully Defended Master's Thesis.

Actionable Recourse for Automated Decisions accepted at FAccT 2024.

FACET paper accepted to ACM SIGMOD 2023.

Demonstrated AutoOD at VLDB 2022.

AutoOD demo paper accepted to VLDB 2022.

Began data science M.S./Ph.D. program at WPI.

Completed data analysis internship at The Hanover Insurance Group.

Graduated with a B.S. in Informatics from UMass Amherst magna cum laude.

Successfully defended undergraduate honors thesis "A simulation model to evaluate alternative strategies for prevention of HIV among the homeless population".

Began working as an undergraduate research assistant with Prof. Chaitra Gopalappa.