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Sisi Liu (Garnet)

Tel: 917-***-**** • Email: *************@*****.***

EDUCATION

BROWN UNIVERSITY Providence, RI

Master in Computer Science Sep 2018 - May 2020

Courses: Topics in Collaborative Robotics, Computer Vision, Computer Graphics, Deep Learning, Algorithms, Data Science COLUMBIA UNIVERSITY New York, NY

B.S. in Computer Science Sep 2015 - May 2018

Courses: Applied Data Mining, Artificial Intelligence, Malware Analysis, Making Breaking Codes, Computer Networks, Database SARAH LAWRENCE COLLEGE Bronxville, NY

B.A. in Liberal Arts with concentration in Computer Science Sep 2012 - May 2015 Courses: Compilers, Quantum Computing, Data Structure, Introduction to Film-making SKILLS

• Programming: Java, Python, C, C++, R, Matlab, PHP, SQL, HTML, CSS, Node.js

• Tools: TensorFlow, OpenGL, ROS Kinetic, Vue, Unreal Engine 4, Android Development, LLVM, Clang Tooling, OllyDbg RESEARCH EXPERIENCE

BRAIN COMPUTER INTERFACE FOR REMOTE DRONE CONTROL - ROBOTICS PROJECT Brown University Collaborative Robotics Jan 2020 - May 2020

• Proposed multiple interfaces using brainwave headset Emotiv Epoc to control robot for disabilities or extreme environment

• Implemented the hand-free interface to control drone in simulated environments with Airsim in Unreal Engine 4

• Achieved 4 degrees of complete hand-free movement by combining mental commands and gyroscope. BOX OFFICE MODELING AND PREDICTION - DATA SCIENCE PROJECT Brown University Data Science Jan 2019 - May 2019

• Applied multiple models and data sources to predict movie box-office before release

• Used historical movies from IMDB, articles from NY Times, and integrated social media posts to linear regression models

• Applied LSTM for new article analysis for movie rating

• Achieved highly accurate prediction for Avengers: Endgame before release. Prediction: 2.8 billion, real value: 2.798 billion SELF-MODELING PROJECT OF ROBOT SPYNDRA - CREATIVE MACHINES LAB Columbia University Research Assistant Sep 2017 - May 2018

• Participated in designing the sensor layout and 3-D printed mechanical parts of the robot structure

• Built Node Architecture with ROS for gait generation signaling and IMU data collection IMPROVING 911 EMERGENCY CALLING ONMOBILEPHONES-RESEARCH PROJECT Columbia University Research Assistant Jan 2016 - May 2016

• Devised and implemented machine learning models to improve indoor location services with real-time streaming data

• Used multiple sources of data including WiFi access points, Cellular data, GPS signals and barometric data.

• Designed multi-sensor fusion strategies for IoT to provide preliminary indoor location services

• Implemented backend server with Flask that leverages web frameworks to provide APIs for end users and 911 centers PROFESSIONAL EXPERIENCE

INTERNSHIP AT FENGYU TECHNOLOGY CO., LTD Beijing, China Software Engineering Intern March 2017 - August 2017

• Developed PHP library to embed encrypted data to Bitcoin transaction for the purpose of saving legal evidence

• Automated broadcast of transactions to the Blockchain with multiple public API such as Blockchain.info

• Avoided the need to run independent Bitcoin Node server and reduced transaction fee to save budget PARALLEL COMPUTATIONAL SCIENCE AT THE NATIONAL CENTER FOR ATMOSPHERIC RESEARCH Boulder, CO Software Engineering Intern May 2016 - August 2016

• Implemented an automated programming language translation tool called h2m (header to module) in C++

• Translated C interfaces to Fortran modules using Clang Tooling of LLVM

• Used GCC and Clang compiler tools to achieve source to source translation PUBLICATION

• Michelle Anderson, Sisi Garnet Liu, Dan Nagle (2018, Aug). The h2m-AutoFortran tool for facilitating C-Fortran interoperability. ACM SIGPLAN Fortran Forum (Volume 37, Issue 2 ) [Paper Link]

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