Experience

 
 
 
 
 

Deep Learning Researcher

NYU

May 2018 – Present New York
Work under Professor Krzysztof Geras and Professor Kyunghyun Cho to develop deep neural networks to understand benign and malignant changes from a sequence of breast cancer screening exams.
 
 
 
 
 

Information Strategist

NYU

Sep 2017 – Dec 2017 New York
Led a software engineering team of 5 students. Developed mobile smart pager system in Kotlin and a private game server and client in C++.

Recent Publications

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In breast cancer screening, radiologists make the diagnosis based on images that are taken from two angles. Inspired by this, we seek …
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Medical images differ from natural images in significantly higher resolutions and smaller regions of interest. Because of these …
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Radiologists typically compare a patient’s most recent breast cancer screening exam to their previous ones in making informed …
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Deep learning models designed for visual classification tasks on natural images have become prevalent in medical image analysis. …
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We present a deep convolutional neural network for breast cancer screening exam classification, trained and evaluated on over 200,000 …
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Projects

Applying Theory of Mind to the Hanabi Challenge

Breaking Numerical Reasoning in NLI

Maggnus - Yale Hack Health 2018

Web app: My UCI class is full

Algorithm: Majority Element

Recent Posts

Have you wondered why some of your training scripts halt every n batches where n is the number of loader processes? This likely means …
Last updated on 4 min read

‘Processing Megapixel Images with Deep Attention-Sampling Models’ (referred as ‘ATS’ below) [1] proposes a new …
Last updated on 4 min read

The main claims of the paper [1] A certain level of localization labels are inevitable for WSOL. In fact, prior works that claim to be …
Last updated on 4 min read

These are some of the most frequent mistakes students made in the lab when I worked as a tutor for ICS 46, Data Structure …
Last updated on 3 min read

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