Kevin Li
My interests encompass the intersection of machine learning and human-computing interaction and deep learning. I enjoy working on projects that utilize deep learning architectures or aim to interpret and understand how machine learning models learn.
Education
Aug. 2019 - Present
B.S. in Computer Science
Georgia Institute of Technology, Atlanta, GA
Overall GPA: 4.00/4.00
Aug. 2019 - Present
B.S. in Biomedical Engineering
Georgia Institute of Technology, Atlanta, GA
Overall GPA: 4.00/4.00
Honors and Awards
Spring 2023
Georgia Tech Provost’s Academic Excellence Award
Selected to represent the College of Computing for most outstanding scholastic record
Spring 2023
G.D. Jain Outstanding Senior in Biomedical Engineering Award
Selected for exemplifying all-around excellence through their significant accomplishments in several of the following categories of activities: service, academics, research, industry, and entrepreneurship
Fall 2022
CIKM 2022 NSF Travel Award
Selected to receive the CIKM 2022 NSF Travel Award
Fall 2022
President's Undergraduate Research Award (PURA)
Selected to receive Georgia Tech's PURA award for work on Argo Scholar
Summer 2022
First Place, Qualcomm Intern Hackathon
1st place at Qualcomm's intern hackathon for creating information propagation framework for autonomous vehicles
Spring 2022
Undergraduate Teaching Assistant of the Year, Georgia Institute of Technology
Selected as one of three undergraduate teaching assistants to be awarded the institute-wide award for TAing CS4641/7641 Machine Learning
Spring 2022
Undergraduate Teaching Assistant of the Year, College of Computing
Selected as UTA of the year for the CSE school under the College of Computing for TAing CS4641/7641 Machine Learning
Fall 2021
Best Poster Honorable Mention, IEEE VIS
For "Argo Scholar: Interactive Visual Exploration of Literature in Browsers"
Fall 2019
Winner, HackGT6 Hackathon
Winner of “Marketplace of the Future” challenge by Anthem for work on accessing medicine availability based on insurance information
Academic Research Experience
Aug. 2020 - Present
Georgia Institute of Technology, Atlanta, GA
Undergraduate Research Assistant, Polo Club of Data Science
Advisor:
Duen Horng (Polo) Chau
Conducting research in machine learning, human-computer interaction, and the intersection of the two.
Jan. 2019 — Dec. 2019
Georgia Institute of Technology, Atlanta, GA
Student Researcher, Laboratory for Intelligent Decision and Autonomous Robots (LIDAR) Lab
Advisor:
Ye Zhao
Worked on controlling cost-effective, physical model of the human hand.
Industry Experience
May 2022 — Aug. 2022
Qualcomm, San Diego, CA
Data Engineer Intern, Autonomous Driving
Designed end-to-end solution for collecting, processing, and querying of autonomous driving data for DL training. Developed Cloud Run Python server using FastAPI that connected to Google Cloud databases along with clients
May 2021 — July 2021
Amazon Web Services, Seattle, WA
Software Development Engineer Intern, Tax Team
Designed workflow to improve existing error identification system that validates all tax calculations for AWS users. Implemented in Java, Rails, and internal tools, tested using JUnit and Mockito, and performed integration testing. Resolved pre-existing system issues and helped plan long-term solutions for improving root cause analysis
July 2020 — Dec. 2020
Georgia Tech Office of Information and Technology, Atlanta, GA
Led standups, managed hiring for the fall, and engaged with 3 clients regarding content deployment strategy.
Publications
Poster
P4
Kevin Li,
Rahul Duggal,
Duen Horng Chau
Association for the Advancement of Artificial Intelligence (AAAI). Washington DC, USA, 2023.
P3
Zhiyan Zhou,
Kevin Li,
Haekyu Park,
Megan Dass,
Austin Wright,
Nilaksh Das,
Duen Horng Chau
IEEE VIS: Visualization & Visual Analytics (IEEE VIS). Oklahoma City, OK, 2022.
P2
Kevin Li,
Haoyang Yang,
Evan Montoya,
Anish Upadhayay,
Zhiyan Zhou,
Jon Saad-Falcon,
Duen Horng Chau
IEEE VIS: Visualization & Visual Analytics (IEEE VIS). Oklahoma City, OK, 2022.
P1
Kevin Li,
Haoyang Yang,
Anish Upadhayay,
Zhiyan Zhou,
Jon Saad-Falcon,
Duen Horng Chau
IEEE VIS: Visualization & Visual Analytics (IEEE VIS). Virtual, 2021.
Demo
D2
Seongmin Lee,
Ben Hoover,
Hendrik Strobelt,
Zijie J. Wang,
Anthony Peng,
Austin Wright,
Kevin Li,
Haekyu Park,
Alex Yang,
Polo Chau
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Vancouver, Canada, 2023.
D1
Kevin Li,
Haoyang Yang,
Evan Montoya,
Anish Upadhayay,
Zhiyan Zhou,
Jon Saad-Falcon,
Duen Horng Chau
ACM International Conference on Information and Knowledge Management (CIKM). Atlanta, GA, 2022.
Preprint
1
ShengYun Peng,
Weilin Xu,
Cory Cornelius,
Kevin Li,
Rahul Duggal,
Duen Horng Chau,
Jason Martin
arXiv:2301.03110 (Arxiv). 2023.
Press
Apr. 2023
"2023 Provost's Academic Excellence Award Recipients," Georgia Tech, Office of Undergraduate Education
Apr. 2023
"Power of People Recognized at College, Institute Awards Ceremonies," Georgia Tech, College of Computing
Apr. 2022
"Students, Faculty Finish the Year Strong with Awards Ceremonies," Georgia Tech, College of Computing
Apr. 2022
"2022 TA and Future Faculty Awards Day," Georgia Tech, Center for Teaching and Learning
Oct. 2021
"Former Student Earns Top Award at Premier Visualization Conference," Georgia Tech, College of Computing
June 2021
"New NVIDIA Partnership Bridges Education Gap for Data Science and Machine Learning," Georgia Tech, College of Computing
Teaching
Spring 2021 - Present
Georgia Institute of Technology, Atlanta, GA
Machine Learning (CS 4641/7641),
Instructor:
Mahdi Roozbahani, Nakul Gopalan
Brainstormed, delegated, and implemented course improvements and oversaw assignment creation and checks. Wrote and graded ML theory and programming assignments for grad and undergrad classes with 750+ students in total. Helped guide, provide feedback, and grade semester-long group projects focused on applying ML to various fields.
Spring 2019 - Fall 2020
Teaching Assistant
Georgia Institute of Technology, Atlanta, GA
Intro Physics II (PHYS 2212),
Instructor:
Ed Greco
Assisted students during lab sections and debugging students' Python code during modeling assignments.
Service
Educational Outreach
Helped develop lecture slides and hands-on labs with included datasets and sample solutions in Python and interactive Jupyter notebook formats for the NVIDIA DLI Data Science toolkit.
Institutional
Georgia Tech Student Government Association (SGA) Curriculum and Classroom Practices Committee Chair, 2020-2021
Led committee of 9 in a push to update Georgia Tech's health curriculum to better suit students' and their needs. Spearheaded revamping of PLUS (Peer-Led Undergraduate Study) sessions to increase accessibility and impact.
Revitalized health course curriculum by analyzing student feedback, benchmarking against peer institutions, and pushing forward solutions
References
Dr. Duen Horng (Polo) Chau, Associate Professor
School of Computational Science and Engineering
Georgia Institute of Technology
Dr. Mahdi Roozbahani, Lecturer
School of Computational Science and Engineering
Georgia Institute of Technology
Jake Vizzoni, Senior Staff Software Engineer
Qualcomm