mallika parulekar
I'm an incoming M.S. CS student at Stanford University specializing in Artificial Intelligence. I'm broadly interested in algorithms, machine learning, human-ai interaction and game theory.
I completed my undergraduate degree from UC Berkeley in Computer Science. There, I was a research assistant at BAIR in Professor Goldberg's AUTOLab where I worked on problems in robot grasping and manipulation using analytic theory and deep learning. Previously, I worked on recommendation systems and anomaly detection at Meta and Abacus.AI. As an avid enjoyer of discrete math and probability who also loves to talk, I was also a TA for CS 70.
In my free time, I enjoy dancing Kathak (an Indian Classical Dance form) with Nazakat, and playing ultimate frisbee!
Research
HANDLOOM: Learned Tracing of One-Dimensional Objects for Inspection and Manipulation
Vainavi Viswanath*, Kaushik Shivakumar*, Mallika Parulekar+, Jainil Ajmera+, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg
Conference on Robot Learning (CoRL), 2023. Oral Presentation.
Learning to Efficiently Plan Robust Frictional Multi-Object Grasps
Wisdom C. Agboh*, Satvik Sharma*, Kishore Srinivas, Mallika Parulekar, Gaurav Datta, Tianshuang Qiu, Jeffrey Ichnowski, Eugen Solowjow, Mehmet Dogar, Ken Goldberg
International Conference on Intelligent Robots and Systems (IROS), 2023.
MINDFUL: A Method to Identify Novel and Diverse Signals with Fast, Unsupervised Learning
Mallika Parulekar, Leelavati Narlikar
Great Lakes Bioinformatics Conference (GLBIO), 2019.