This document is a resume for Tiange Zhan that outlines their education, skills, experience, and awards. Tiange Zhan has a double major in computer science and mathematics from MIT with a GPA of 4.9/5.0. They have experience in machine learning, natural language processing, distributed systems, and security. Tiange Zhan has worked on projects applying machine learning to healthcare data and audio analysis. They have skills in programming languages like Python, Java, and C++ as well as frameworks like TensorFlow, Keras, and D3.

1. Tiange Zhan
tzhan@mit.edu • 901-497-5745 • www.tiangezhan.com
COURSEWORK
GRADUATE
Advanced Machine Learning
Natural Langauge Processing
Distributed Systems
Computer and Network Security
Cryptography and Cryptanalysis
UNDERGRADUATE
Machine Learning
Advanced Algorithms
Statistics for Applications
Computer Systems Engineering
Web Programming
Probability and Statistics
Discrete Applied Math
SKILLS
PROGRAMMING LANGUAGES
Python • Java • Javascript
• C Sharp • Scheme • Matlab • C++
WEB
Ember • AngularJS• Node.js• HTML• CSS
DATA/MACHINE LEARNING
TensorFlow• Pandas• Scikit-learn • Keras •
D3
OTHER TECHNICAL
Version Control
Git • SVN
Database
MySQL • MongoDB
Editors
Jupyter Notebook • Vim • Emacs
OS
Linux • Windows • Mac
PROJECTS
Github:// alywaly13
Web app - Rhythm transcriber
Web app - Group music listening
Security analysis of Piazza
EDUCATION
MASSACHUSETTS INSTITUTE OF TECHNOLOGY | 2018
GPA - 4.9/5.0
DOUBLE MAJOR - COMPUTER SCIENCE, MATHEMATICS
Candidate for Masters of Engineering | Cambridge, MA
WHITE STATION HIGH SCHOOL | 2013
SAT - 2380; ACT - 36
GPA - 4.0/4.0; Rank 2 out of 467
EXPERIENCE
QPID HEALTH | FULL STACK DEVELOPMENT + MACHINE LEARNING
Summer 2017 | Boston, MA
• Created an ensemble model (logistic regression + recurrent neural network) to
predict quality of evidence supporting a health insurance claim; model achieves
AUC score of 0.9
• Designed and implemented extensible architecture for search engine, allowing
search matching on customized criteria
MIT CSAIL - ALFA LAB | MACHINE LEARNING
Spring 2017 | Cambridge, MA
• Applied locally sensitive hashing algorithm to MIMIC ECG dataset to predict
arrhythmia based on patients with similar trajectories
FIVE RINGS CAPITAL | SOFTWARE DEVELOPMENT
Winter 2017 | New York, NY
• Implemented system to analyze trading records across disparate sources of
information to allow easy addition and configuration of compliance rule checking.
SONOS | DATA ANALYTICS + MACHINE LEARNING
Summer 2016 | Santa Barbara, CA
• Implemented neural net to predict presence of case on phone given acoustic
tuning response; improved detection accuracy by up to 36%; method used
pending patent
• Created model to predict information on next purchase given past purchases by
analyzing product registration data
• Used natural language model to categorize custom names of speaker locations
• Analyzed and created visuals in D3 of hundreds of thousands of location names
MIT SLOAN – HEALTHCARE FINANCE | MACHINE LEARNING
Feb - June 2016 | Cambridge, MA
• Performed clustering analysis on a thousand biotech and pharmaceutical
companies to classify them into industry sectors based on financial characteristics
LEADERSHIP
IEEE RESEARCH CONFERENCE | CONFERENCE CHAIR
Feb 2015 – 2017 | IEEE Undergraduate Research Technology Conference
• Lead committee of 20 to plan international research conference; invited and
coordinated speakers and sponsors; spearheaded collaboration with IEEE
Professional Section; defined and planned conference events
• Worked with committee to launch the first ever IEEE MIT conference in 2015
AWARDS & HONORS
• Phi Beta Kappa Honor Society membership
• Tau Beta Pi Honor Society invitation