About Me
Hi! I am a PhD student currently pursuing my studies in the Tri-Institutional PhD Program in Computational Biology and Medicine, a collaborative effort between Cornell University, Weill Cornell Medicine, Memorial Sloan Kettering Cancer Center, and Rockefeller University. I graduated with a Master of Science degree in Computer Science at University of Toronto, focusing on AI for health research. I had the privilege of being mentored by Dr. Anna Goldenberg, who is affiliated with both SickKids Hospital and Vector Institute. Before my time at the UofT, I studied Biomedical Engineering at the University of Waterloo. There, I specialized in AI and computing, which helped build a solid foundation for my current research.
My research work primarily focuses on computational biology, digital health, wearable technology, medical imaging, and more! As an AI4Medicine researcher, I would like to bridge the gap between AI and medicine and make an impact in the healthcare field.
Interests
- Artificial Intelligence in Medicine and Health
- Computational Biology
- Precision Medicine
Education
PhD in Computational Biology and Medicine
Tri-I (Weill Cornell Medicine/Cornell University, Memorial Sloan Kettering Cancer Center, and Rockefeller University)
MSc in Computer Science, 2024
University of Toronto
BASc in Biomedical Engineering, 2022
University of Waterloo
Recent News
Another paper acceptance!
My first-authored paper, A Multi-Granularity Approach to Similarity Search in Multiplexed Immunofluorescence Images, done during my internship at Enable Medicine, has been accepted to the Machine Learning in Computational Biology 2023 Proceedings track! Excited to present my work in Seattle in November!
My first-authored paper, A Multi-Granularity Approach to Similarity Search in Multiplexed Immunofluorescence Images, done during my internship at Enable Medicine, has been accepted to the Machine Learning in Computational Biology 2023 Proceedings track! Excited to present my work in Seattle in November!
Another Journal Acceptance!
Our collaborative research work with McMaster University, done as part of our undergrad Capstone Project, Haustral Rhythmic Motor Patterns of the Human Large Bowel Revealed by Ultrasound, was accepted to American Journal of Physiology-Gastrointestinal and Liver Physiology!
Our collaborative research work with McMaster University, done as part of our undergrad Capstone Project, Haustral Rhythmic Motor Patterns of the Human Large Bowel Revealed by Ultrasound, was accepted to American Journal of Physiology-Gastrointestinal and Liver Physiology!
Recent Publications
Quickly discover relevant content by filtering publications.
(2023).
A Multi-Granularity Approach to Similarity Search in Multiplexed Immunofluorescence Images.
In MLCB 2023.
(2023).
Dynamic Interpretable Change Point Detection for Physiological Data Analysis.
In ML4H 2023.
(2023).
Childhood Adversity’s Impact on Dynamic Mental Health During and Post Pregnancy.
In DSTNDS 2023.
(2023).
Haustral Rhythmic Motor Patterns of the Human Large Bowel Revealed by Ultrasound.
American Journal of Physiology-Gastrointestinal and Liver Physiology, 1(1).
Projects
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The project aims to develop a top-performing large-language-model (LLM) solution for automating clinical note generation from physician-patient dialogues, thereby demonstrating the potential of LLMs in improving healthcare documentation and communication.
This study finds that machine learning models trained on pooled electronic health record (EHR) data from multiple sites can generalize better to unseen data, while also revealing that data sharing partnerships may not always enhance performance, and certain baseline models continue to be competitive except in few-shot learning scenarios.
This project focuses on memory compression techniques for image compression algorithms due to the high cost of transferring data and computation between different units.
This research project aims to use data from wearable devices to assess delivery readiness during pregnancy on an individual basis. The study collects physiological data from pregnant women to identify specific maternal indicators that could predict delivery readiness and potentially reduce the risk of adverse outcomes for both mothers and infants.
Experiences
Research Intern
Research Student
Research Student (Co-op)
Undergraduate Research Assistant
Accomplishments
Vector Research Grant ($4,000)
The Vector Research Grant awarded to top graduate students pursuing AI research at Vector Institute.
Vector Scholarship in Artificial Intelligence ($17,500)
The Vector Scholarship in Artificial Intelligence awarded to top students pursuing AI master’s in Ontario university, these merit-based entrance awards recognize exceptional candidates pursuing a master’s program recognized by the Vector Institute or candidates who are following an individualized study path that is demonstrably AI-focused.
Ontario Graduate Scholarship ($15,000)
The Ontario Graduate Scholarship (OGS) program encourages excellence in graduate studies at publicly-assisted universities in Ontario. Since 1975, the OGS program has been providing merit-based scholarships to Ontario’s best graduate students in all disciplines of academic study.
BioTalent Canada Work Placement Program Funding ($7,000)
The BioTalent Canada Work Placement Program Funding aims to fund high-achieving students in science, technology, engineering, mathematics (STEM), and business fields, providing them with exclusive opportunities to gain practical experience through funded work placements with esteemed employers.
NSERC Undergraduate Student Research Award ($6,000 × 3)
The Undergraduate Student Research Awards (USRA) program is administered jointly by Canada’s three research granting agencies: the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canadian Institutes of Health Research (CIHR), and the Social Sciences and Humanities Research Council of Canada (SSHRC).
President’s Research Award ($1,500 × 2)
The President’s Research Award is a $1500 award available to eligible full-time undergraduate students who were recipients of the President’s Scholarship of Distinction and are interested in pursuing an on-campus research experience, under the supervision of a University of Waterloo researcher.
President’s Scholarship of Distinction ($2,000)
The President’s Scholarship of Distinction is an award given to students with 95+ admission average.
Popular Topics
Academic
Adverse Childhood Experiences
Causal Discovery
Change point detection
Computer Vision
Deep Learning
Dynamic window
Gastroenterology
Graph Neural Network
Health monitoring
Image Segmentation
Machine Learning
Maternal Mental Health
Medical Imaging
Mobile Health
Model Compression
Multiple-Input–Multiple-Output Radar (MIMO)
Ongoing
Radar Imaging
Time Series