CV

B.S. in Computer Science

University of California San Diego

• Advised by Prof. Xiaolong Wang
• Graduate Coursework: 3D Computer Vision (ML Meets Geometry)
• Undergraduate Coursework: Deep Learning, Computer Vision, AI Search and Reasoning, Statistical NLP, Computer Graphics, CSE Honors Thesis, Intro to CS Research, Algorithms, Advanced Data Structures, Statistical Methods

McNair Scholar

University of California San Diego

California Louis Stoke Alliance for Minority Participation (CAMP) STEM Scholar

University of California San Diego

Summer Undergraduate Research Experience Scholar at University of Southern California

University of Southern California

CSE Early Research Scholar (CSE ERSP) at UC San Diego

University of California San Diego

Google Explore Computer Science Research (ExploreCSR) Scholar at UC San Diego

University of California San Diego

Robot Learning Researcher

Xiaolong Wang Lab, University of California San Diego

• I work at the intersection of machine learning and robotics to solve challenging problems in the area of robot manipulation
• I have participated in the McNair Scholars Program and CAMP Scholars Program at UCSD under Prof. Xiaolong Wang's supervision

Natural Language Processing (NLP) Researcher

Intelligence and Knowledge Discovery (INK) Lab, University of Southern California

• I worked on commonsense reasoning for text generation with Large Language Models (LLMs)
• I participated in the USC Summer Undergraduate Research Experience (SURE) Program at USC under Prof. Xiang Ren's and Peifeng Wang's supervision

Computer Vision Researcher

Advanced Robotics and Controls Lab, University of California San Diego

• I built a semantic segmentation benchmarking framework for laparoscopic surgical scene understanding

Computer Vision Researcher

Berg Lab, University of California San Diego

• I worked on a historical document transcription pipeline with convolutional neural networks (CNNs)
• I participated in the CSE Early Research Scholars Program (CSE ERSP) at UCSD under Prof. Taylor Berg-Kirkpatrick's supervision

Cancer Bioinformatics Researcher

GenePattern Team, Mesirov Lab, University of California San Diego

• I developed a cancer tumor analysis pipeline for GenePattern, a software package used by 500,000+ researchers worldwide

Machine Learning Researcher

System Energy Efficiency Lab, University of California San Diego

• I developed a working epileptic seizure detection model using logistic regression
• I participated in the Google Explore Computer Science Research (ExploreCSR) Program under Anthony Thomas's suprvision

President

ACM AI at UC San Diego

Undergraduate Committee (UGCOM) Student Representative

CSE Department at UC San Diego

Director of Marketing

ACM AI at UC San Diego

Graph Inverse Reinforcement Learning from Diverse Videos

Sateesh Kumar, Jonathan Zamora*, Nicklas Hansen*, Rishabh Jangir, Xiaolong Wang

• Deep RL Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2022. Poster.
• Aligning Robot Representations with Humans at Conference on Robot Learning (CoRL), 2022. Poster.
• arXiv, project page

Computer Science Tutor

Computer Science/Info Systems Open Lab, Grossmont College

• Assisted 400+ students in all core lower-division CS courses
• Courses include Data Structures in Java and C++, Systems Programming, Python, SQL, Programming Logic, and Discrete Structures