Michael Sun Email & Phone Number

San Francisco, Ca, Us

San Francisco, California, Us

Build and maintain tools/infrastructure for creating, consuming, and exposing high throughput datasets.Current + past projects:- Data Lake dataset consolidation and access control- Building/maintaining data privacy/security systems- Design for streaming pipelines

- Worked as part of Aleksander Madry's lab (http://madry-lab.ml/) focusing on building a principled and thorough understanding of key techniques in modern machine learning- Researched model-based priors as a method to generate interpretable black-box adversarial attacks on deep neural networks- Previous research projects included studying principled approaches to selecting hyperparameters for white-box adversarial attacks and query-efficiency within black-box adversarial attacks

Graduate teaching assistant for 6.867 (Graduate-level Machine Learning). Led recitation sections and wrote and graded problem sets/tests

Cambridge, Ma, Us

Graduate teaching assistant for 6.036 (Introduction to Machine Learning)

New York, Ny, Us

- Product lead on a term sheet evaluator and decoder project for early stage startup founders- Designed and built safegenie.io, a web application for Y Combinator early stage founders toexplore the impact of investments on company ownership- Built and maintained Runway (startuprunway.io), a financial planning tool for startup founders.

Cambridge, Ma, Us

Graduate teaching assistant for 6.874 (Deep Learning for Computational Biology) at Massachusetts Institute of Technology

Cambridge, Ma, Us

Neural network optimizations and computational biology

Researched and implemented machine learning models (word2vec, DCGAN, etc) in Microsoft's Cognitive Toolkit API

Mountain View, Ca, Us

- Worked with ML researchers to develop explanatory visualizations of large-scale machine learning algorithms in TensorFlow as part of the Google Brain team

New York, Us

Designed and back-tested multiple trading strategies for futures spreads between different products

New York, Us

1) Developed an internal events creation tool as a part of company-wide site migration and rebranding2) Redesigned the company's external account settings page for mobile responsiveness3) Created a platform for crowd-sourcing extracurricular events as part of Next Jump's Code For A Cause initiative

Cambridge, Massachusetts, Us

Worked on two projects:1) Use pupil tracking data to develop a Google Glass platform for augmenting human memory.2) Developed a platform for eye-based collaborative problem-solving using eye gaze tracking data, built for the Tobii eyeX Tracker using Node.js and Python scripts. Demos include using eye gaze to focus on different areas of a lytro image and using eye gaze to control mouse movement.

Cambridge, Ma, Us

Reviewed and analyzed literature relating to Category Theory and used the programming language Coq. to understand the View Update Problem.

Master Of Engineering - Meng, Robustness In Deep Learning

Bachelor’S Degree, Mathematics And Computer Science