Scholar
Subhashini Venugopalan
Google Scholar ID: TmWYBeEAAAAJ
University of Texas at Austin
Citations & Impact
Citations
16,775
H-index
30
i10-index
41
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- - Key contributor to several works featured in the 'Healed through A.I.' documentary
- - Work includes improving speech recognition systems for users with impaired speech, transfer learning for bio/medical data (e.g., detecting diabetic retinopathy, breast cancer), and developing methods to interpret vision/audio models for medical applications
- - Applied NLP and CV techniques during graduate studies to generate descriptions of events depicted in videos and images
- - Published papers such as 'CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning'
Research Experience
- - Worked on deep learning projects at Google Brain and Google Research
- - Spent a year as a Blue Scholar software engineer at IBM Research, India
- - During her Ph.D., collaborated with Prof. Trevor Darrell's group at UC Berkeley and Prof. Kate Saenko at Boston University
- - Currently focused on Large Language Model reasoning and evaluations
Education
- - Ph.D.: University of Texas at Austin, advised by Prof. Ray Mooney
- - M.S.: IIT Madras, thesis advised by Prof. C. Pandu Rangan
- - B.S.: NITK Surathkal, Information Technology
Background
- ML researcher at Google, currently working on Large Language Model reasoning and evals. Research interests include applications of vision, audio, and language technologies to healthcare and sciences.
