My research focuses on developing machine learning and statistical methods to extract valuable insights from biological datasets. I design end-to-end computer vision pipelines to uncover relevant biological data and generate hypotheses. With my background in both software development and experimental biology, I particularly enjoy tackling multifaceted challenges that demand proficiency in both domains. I am particularly driven to building solutions harnessing statistics, computer vision, and machine learning.

Courses Taught

• CS.601.475/675 Machine Learning (Graduate Instructor)
• ME:110.728 Cell Structure & Dynamics (Graduate Teaching Assistant)
• EN.580.132 Investment Management & Entrepreneurial Finance (Instructor)
• EN.585.725 Biomedical Engineering Practice & Innovation Lab (Graduate Teaching Assistant)
• EN.500.113 Gateway Computing: Python (Graduate Teaching Assistant)

Publications

1. Single-cell mRNA profiling reveals cell-type-specific expression of neurexin isoforms. Neuron, 87(2), 326-340. (2015) [link, pdf]
2. Input-and output-specific regulation of serial order performance by corticostriatal circuits. Neuron, 88(2), 345-356. (2015) [link, pdf]
3. Engineering a ‘BioBalloon’ for Mid-Atmospheric Sensing: Synthetic Biological Applications of Latex, Melanin, Chlamydomonas reinhardtii,Nucleic Acid Aptamers, and Chromogenic Proteins. PLOS iGEM. (2017) [link, pdf]
4. Getting there and staying there: supporting and enabling persistent human life on Mars using synthetic natural rubber, self-healing materials, and biological batteries. bioRxiv, 345496. (2018) [link, pdf]
5. Solid-phase inclusion as a mechanism for regulating unfolded proteins in the mitochondrial matrix. Science advances, 6(32), eabc7288. (2020) [link, pdf]
6. Input-specific modulation of murine nucleus accumbens differentially regulates hedonic feeding. Nature communications, 12(1), 1-12. (2021) [link, pdf]
7. Suppression of chromosome instability by targeting a DNA helicase in budding yeast. Molecular Biology of the Cell, mbc-E22. (2022) [link, pdf]
8. Biased Placement of Mitochondria Fission Facilitates Asymmetric Inheritance of Protein Aggregates during Yeast Cell Division. PLOS Comp Bio. (2023) [link, pdf]
9. Enhancing mitochondrial proteolysis alleviates alpha-synuclein-mediated cellular toxicity. Nature. (2024) [link, pdf]