Sriram Somasundaram

I am a M.S. candidate in the Computer Science department at Stanford University. I'm working at the Stanford Vision Lab in the People, AI, and Robots group and am advised by Prof. Fei-Fei Li. Previously, I was an undergraduate researcher at USC's Cognitive Learning for Vision and Robotics Lab and was advised by Prof. Joseph J. Lim. My research interests are reinforcement learning, robotics, and machine learning.

In 2015, I was a research intern at the Mellins Lab at Stanford University under Prof. Elizabeth Mellins. I've also interned at Riot Games, Raytheon, and Quid.

Email / CV / Google Scholar / LinkedIn

Research

I'm interested in investigating how learning algorithms can enable machines to acquire complex skills in real-world settings. My research experiences thus far delve into learning and interpreting deep representations for complex skills and enabling machines to smoothly compose and execute skills for hierarchical tasks.

	Composing Complex Skills by Learning Transition Policies with Proximity Reward Induction Youngwoon Lee, Shao-Hua Sun, Sriram Somasundaram, Edward Hu, Joseph J. Lim, International Conference on Learning Representations (ICLR), 2019 project page Transition policies enable agents to execute learned skills smoothly to perform complex tasks.
	Neural program synthesis from diverse demonstration video Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, Joseph J. Lim, International Conference on Machine Learning (ICML), 2018 project page We propose a neural program synthesizer that explicitly synthesizes underlying programs from behaviorally diverse and visually complex demonstration videos.
	In vivo clonal expansion and phenotypes of hypocretin-specific CD4+ T cells in narcolepsy patients and controls Wei Jiang, James R. Birtley, Shu-Chen Hung, Weiqi Wang, Shin-Heng Chiou, Claudia Macaubas, Birgitte Kornum, Lu Tian, Huang Huang, Lital Adler, Grant Weaver, Liying Lu, Alexandra Ilstad-Minnihan, Sriram Somasundaram, Sashi Ayyangar, Mark M. Davis, Lawrence J. Stern, Elizabeth D. Mellins, Nature Communications, 2019 We investigate the autoimmune contribution to narcolepsy development and analyze the in vivo expansion of HCRT-reactive TRAJ24+ cells.
	pH-susceptibility of HLA-DO tunes DO/DM ratios to regulate HLA-DM catalytic activity Wei Jiang, Michael J. Strohman, Sriram Somasundaram, Sashi Ayyangar, Tieying Hou, Nan Wang, Elizabeth D. Mellins, Scientific Reports vol. 5, p. 17333, Nov. 2015 We investigated the pH-dependence of DM-DO-mediated class II peptide exchange and identified an MHC-II allele-independent relationship between pH, DO/DM ratio, and efficient peptide exchange.

Course Projects

Voice Conversion between Male and Female Speech
Sriram Somasundaram, Andrew Szot, Md Nasir, Arshdeep Singh, 2017
blog post

Investigated voice conversion between male and female audio using multiple approaches including a CycleGAN on audio spectrograms and speaker conditioned generators with and without latent space supervision.

this guy makes a cool website