I'm a very curious person and enjoy learning as well as sharing useful material. When I'm not nerd-ing it up, I practice martial arts and do yoga. I've also been a coach of basketball and soccer.
My teaching method involves problem-based learning. If the student has homework, I first require them to attempt it on their own. Unsolved problems will be tackled jointly and thoroughly explored. If the student is self-learning, I will attempt to generate problems of interest to instruct around.
I currently work as an engineer (M.Eng Cornell) specializing in Machine Learning in academia (Weill Cornell Radiology). I have taught classes at conferences and on the Weill Cornell campus. I have previous tutoring experience with high school students studying Trigonometry, Calculus, and basic Computer Science.
Masters of Engineering in Computer Science (Cornell - Ithaca GPA 3.63)
Bachelors of Science in Computer Science (University of Hawaii GPA 3.88)
Retraining API - LSTM
TROVE: Open Source Resident
Dashboard With Disease
Classification Using Natural
Language Processing (NLP)
and Machine Learning (ML)
DAISY: Open Source Mobile App
helping Patients Prepare For
Radiology Exams and
Procedures After Order Entry
TEMPO: Open Source Web App
for Creating Radiology Reports
With Pre-Populated Values
From Technologists and
Machine Learning Applications
RSNA Deep Learning Lab 2019
SIIM Data Science Primer 2019
RSNA TROVE 2015
JOURNAL ARTICLE IN REVIEW
ML - CI/CD: AI-workflow
Worked at two start ups (Angular Health & Flyr) concurrently with my job at Weill Cornell. Since I specialize in Artificial Intelligence (+ general data science), I'm required to have a sturdy foundation in Calculus, Linear Algebra, Statistics, and Computer Science.
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