CV
Education
- Medical Degree, Albert Einstein College of Medicine, 2019-2024
- Einstein Research Fellowship (2021-2022)
- Einstein Senior Research Fellowship (2024)
- President of the Adolescent Medicine Interest Group
- Certificate in Premedical Sciences, Columbia University, 2018
- Dean’s List, GPA: 3.84, MCAT: 520 (98th %tile)
- Visiting Student Coursework (2013-2018):
- Columbia Extracurricular Coursework: Introduction to Neurobiology, Computational Neuro: Circuits in the Brain, Applied Functional Analysis, Data Structures; Making, Breaking Codes; Introduction to Numeric Methods
- Tufts Coursework: Differential Equations
- B.S. in Mathematics, Brandeis University, 2014
- Dean’s List, GPA: 3.5, Mathematics Major GPA: 3.7
- Wrote about Astrophysics for the school newspaper, The Hoot
- Notable Coursework: Advanced Calculus, Advanced Physics Lab, Astrophpysics, Complex Analysis, Independent Study in Combinatorics, Intermediate Mandarin, Introduction to Combinatorics, Introduction to Quantum Theory, Mathematical Logic, Rings and Fields
Residency Training
- Psychiatry Resident, Northwell Nuvance Health Psychiatry Residency Program, 2024-Present
- PRITE percentile by year: 99 (PGY-1), 98 (PGY-2)
- Child and Adolescent Psychiatry rotation, CCATS Intensive Outpatient Program (IOP) at Danbury Hospital
- Teaching and supervision of medical students during clinical rotations
Awards and Honors
- Academic Achievement Award, Northwell Nuvance Health, PGY-1 and PGY-2 (2024-2025, 2025-2026)
- Best Research Poster Award, 41st Annual Belsky Research Day, Vassar Brothers Medical Center (2026)
- Intern of the Year, Northwell Nuvance Health (2024-2025)
- Einstein Research Fellowship & Senior Research Fellowship, Albert Einstein College of Medicine (2021-22, 2023-24)
Work experience
- January 2019 - Present: Research Assistant, Neuropathology Brain Bank, Icahn Medical School
- Applied Attention Assisted Multiple Instance Learning to Complex Datasets to Discern Post-hoc Regions of Interest
- Organized data labeling effort as part of a project to build an AI to identify α-synuclein deposits funded by the MJFF
- Assisted in the Development of a Novel Attention Assisted Multiple Instance Classifier Using Graph Neural Networks
- Built a Segmentaiton Model using Hypercube Representations of Whole Slide Images
- Pursued Several Certificates in Machine Learning from Coursera
- January 2016 - January 2017: Software and Data Infrastructure Engineer, TripleLift
- Helped to build current data infrastructure using Spark, Kafka, ZooKeeper, Amazon EMR, DataBricks, MySQL, and Redshift
- Built reporting to help automate error detection and malformed data.
- Worked with Data Science team to assist in model building
- Co-Lead initiative to hire interns for all engineering related departments
- January 2015 - September 2015: Software Engineering Intern, TripleLift
- Backend software engineer in Java and Data Scientist.
- Worked closely with MySQL and Redshift databases as a backend engineering for the data pipeline.
- Investigated discrepancies and automated discrepancy detection.
- Worked on Java high performance optimization and utilized data to improve technologies.
- Rearchitectured the way data are stored and deleted from the database to deal with issues of scale.
- May 2013 - September 2013: Summer Student Researcher, Brandeis University
- Worked in Combinatorial research at Brandeis University where undergraduate mathematics research positions were previously not offered by reaching out to the department and applying for grants. Proved various extensions of the Graph Minor Theorem (Robertson & Seymour 2004) more pertinent to research in Computer Science and learned to use LaTeX and IPE to write academic research papers.
- May 2012 - May 2013: Advanced Lab Assistant, Radio Astronomy / Fourier Analysis, Physics, Brandeis University
- Analyzed data from recent experiments done with the Very Large Array and Very Long Baseline Array using Astronomical Image Processing System (AIPS) and Difmap.
