Work Experience

Research Positions

Currently working on a tool to forecast call volume in collaboration with the Owings Mills Volunteer Firehouse to address staffing demands.

Emerald Advisors, LLC | Life Sciences Research Analyst Intern | May 2024 - Aug. 2024

  • Assisted senior analysts in covering 20+ biotech/therapeutics companies at a long-only firm managing ∼$5B of AUM.

  • Evaluated scientific literature, clinical trial data, and business filings as part of the due diligence process for new ideas.

  • Contributed to the BUY decision on a stock that went up 50+% and made a positive 8bps impact to the portfolio.

  • Conducted due diligence for an IPO, including constructing comps tables and reviewing SEC-1 filings.

Johns Hopkins University, Wearable and Implantable Technology Group | Research Associate for Dr. Ciprian Crainiceanu | Sep. 2022 - Present

  • Helped develop inference procedures for functional cox models that consider the inherent correlation of timeseries data.

  • Demonstrated that wearable device metrics improve the performance of traditional survival models by up to 10%.

  • Produced robust R pipelines for analyzing high-dimensional data on a cluster computer (N = 500, 000, p > 1000).

  • This work resulted in 1 peer-reviewed paper Springer Journal of Neurology and 3 papers under revision.

Johns Hopkins University, Department of Biostatistics | Research Assistant for Dr. Brian Caffo | Jul. 2023 - May 2024

  • Comprehensively compared stochastic timeseries models to capture the complex dynamics of real/simulated fMRI data.

  • Leveraged the Pytorch, Tensorflow, and Keras libraries in Python to tune and test RNNs, transformers, and AR models.

  • Proposed that the potency of transformers suggest a form of neural context that challenges standard fMRI assumptions.

  • This work resulted in 1 peer-reviewed review article in Annual Reviews of Statistics and 1 paper under revision.

McGill University, Quantitative Life Sciences | Research Assistant for Dr. Jackie Vogel | Jan. 2020 - Aug. 2022 - Developed shape analysis pipelines in Java and Python to identify droplet-like behaviours in proteins from video data.

  • Leveraged ML for artifact removal and signal processing; weighted-mean/Gaussian approaches for subpixel positioning.

  • Contributed to single-cell analysis software for super-resolution image data that lead to 8+ talks, posters, and abstracts.

Editorial Activities – Peer Reviewer

Journal of Neurology (1)

Biostatistics and Epidemiology (2)

Teaching Positions

Johns Hopkins University

Teaching Assistant | Statistical Programming Paradigms and Workflows, ∼45 students | 2023

Teaching Assistant | Statistical Methods in Public Health II, ∼300 students | 2023

Teaching Assistant | Statistical Machine Learning, ∼50 students | 2023

McGill University

Undergraduate Tutor | Subjects: Discrete Maths, Algorithms and Data Structures, Organic Chemistry I, and more. | ∼10 students | 2020-2022

Teaching Assistant | Data Science, ∼200 students | 2021

TEAM Mentor | Physics - Electromagnetism | Tutorials and Office Hours ~200 students | 2021

TEAM Mentor | General Chemistry 1 | Tutorials and Office Hours ~200 students | 2020

Grader | Introduction to Biophysics, ∼150 students | 2020

Leadership Positions

Johns Hopkins University

Doctoral Student Council | Biostatistics Representative | 2025-2026

Department of Biostatistics | ScM Student-Faculty Representative | 2023-2024

Biostatistics Students Organization | Curriculum Committee Representative | 2023-2024

CEPH Site Visit Student Representative | For reaccreditation from the Council on Education for Public Health | 2023

McGill University

President | McGill Integrative Biosciences Society | 2021-2022

VP Events | McGill Integrative Biosciences Society | 2020-2021