About Me

My interest in computer vision started with a summer at a National Science Foundation Research Experience for Undergraduates where I researched the applications of deep learning to tracking under Dr. Mubarak Shah. I continued research in industry the next summer as a Software Engineering intern at Apple focusing on computer vision and machine learning research. I am currently focusing on vision and robotics in my thesis, which aims to aid the visually impaired through depth imaging and the 3-D reconstruction of scenes. My current plans focus on pursuing a PhD in computer vision. If you have any projects that you think I might be able to contribute to, please feel free to contact me.
Outside of computer science, I am passionate about music, technology policy, and mentoring girls in STEM.

Contact Details

sichen [at] gmail [dot] com
Washington, DC 20052 USA


The George Washington University

Bachelor of Science in Computer Science, Minor in Music 2012 - 2016

Dean's Scholar: Recipient of the highest merit scholarship from the School of Engineering and Applied Sciences.
University Honors Program: A set of liberal arts focused supplementary courses that encourage connections between philosophy, art, and the sciences.



Software Engineering Intern May 2015 - August 2015

Researched problems at the intersection of computer vision and machine learning to create a feature that is currently being expanded.
iContest Finalist: Participated in an Apple hackathon, presented a novel feature to a jury of managers.


Creative Technologies Intern May 2013 - August 2013

Implemented a database to interpret data gathered from Facebook users' profiles for research on trends in subcultures.


Computer Vision & Robotics Thesis Research

Senior Thesis August 2015 - Present

Working with near-infrared cameras in Project Tango (Android) and Structure (iOS) to capture and interpret depth data. Using the data, creating a model of terrain traversal from depth map informationn to allow multi-legged robots to recognize and avoid rough terrains.

Stanford University's U.S.-Russia Forum

Technology & Entrepreneurship Research May 2015 - Present

Analyzing American and Russian models of technological innovation such as Silicon Valley and Skolkovo. Using econometrics and qualitative social studies to understand the variables driving entrepreneurship and innovation in naturally and artificially formed clusters of innovation. Creating a paired comparison of various clusters of innovation to suggest ideal models for encouraging innovation in the US, Russia, and in both naturally and artificially formed innovation centers.

National Science Foundation | Research Experience for Undergraduates

Research Fellow May 2014 - August 2014

Advisors: Dr. Mubarak Shah & Dr. Niels de la Vitoria Lobo
University of Central Florida, Center for Research in Computer Vision
Created Deep Tracking, which improved state of the art tracking performance by over 12% with the application of deep learning techniques to the fundamental challenge of tracking. Introduced motion and appearance dual-flow convolutional neural networks to tracking. Created a novel approach to scale change that is feature-dependent, rather than scale-dependent. This research will be submitted to CVPR and an ArXiv link will be posted soon.

The George Washington University | College of Medicine

Genetics & Breast Cancer Research 2011 - 2012

Advisors: Dr. Sidney Fu
Analyzed the role of microRNA-298 regulating genetic expression in breast cancer with genetic sequencing.

Albert Einstein College of Medicine

Genetics & Neuroscience Research 2011 - 2012

Advisors: Dr. Zaven Kaprielian & Dr. Hannes Buelow
Isolated the rz-1 mutation, which is responsible for extreme dendritic abnormalities, in C. elegans strains. Used genetic sequencing to find the gene responsible for the mutation. Chronicled its effects on dendritic formation as a preliminary model for understanding Fragile X Syndrome.

New York University

Visual Cognitive Psychology Research 2010 - 2011

Advisors: Dr. Marisa Carrasco & Dr. David Carmel
Studied the effect of attention cues on memory within the phenomenon of Boundary Extension.


Undergraduate Teaching Fellow

CS1010: Introduction to Computer Science Fall 2015

Assist students in lecture and lab sessions, guiding them through building their final robotics project. Introduce students to new ideas in computer science and algorithmic concepts.


  • Java
  • C++
  • C
  • Matlab
  • OpenCV
  • Depth imaging: Tango, Structure, Kinect
  • Caffe

Honors & Merit

Dean's Scholar

School of Engineering & Applied Sciences Scholarship 2012 - 2016

University Honors Program

GW Program of Academic Merit 2012 - 2016

Association for Computing Machinery

Grace Hopper Celebration, Student Research Competition October 2015

George Ellowitz Memorial Award

Award for arts-related travel. 2015

Shenkman Development Grant

Award for travel to Russia for research. 2015

Facebook Grace Hopper Scholarship

Travel scholarship from Facebook. 2015

Google Grace Hopper Travel Grant

Travel scholarship from Google. 2014