Gautam Krishna is a highly accomplished professional with extensive experience in the field of Non-Invasive Brain-Computer Interfaces and Glioblastoma Multiforme (GBM). With a Ph.D. in Electrical and Computer Engineering from UT Austin, Gautam is an expert in developing new BCI technologies that enhance user experiences for various electronic gadgets. He is also actively involved in researching and developing new machine learning algorithms to decode brain signals, with the long-term goal of making technology and computing accessible to all people.
Gautam has held several leadership positions, including his role as Data Tech Lead at Apple and his experience as a Graduate Mentor and Graduate Teaching Assistant at Cockrell School of Engineering, The University of Texas at Austin. Additionally, he has worked as a Research Intern at Samsung Research America and Fujitsu Network Communications, where he developed his expertise in speech recognition, speech processing, and digital health.
Gautam's areas of professional interest include brain-computer interfacing, speech recognition, speech processing, digital health, and machine learning. He is actively seeking full-time positions in the Bay Area (Mountain View, San Jose, Santa Clara, San Francisco), with his second preference being San Diego, LA, and NYC. Gautam is also open to research or postdoc positions in the Bay Area, with a focus on projects related to GBM and immunotherapy.