title

ACM Doctoral Dissertation Award

Content-Type

text/html; charset=UTF-8

charset

utf-8

X-UA-Compatible

IE=edge

viewport

width=device-width, initial-scale=1, maximum-scale=1, user-scalable=no

og:title

Ashish Sharma receives the 2024 ACM Doctoral Dissertation Award

og:description

Ashish Sharma is the recipient of the ACM Doctoral Dissertation Award for their dissertation “Human-AI Collaboration to Support Mental Health and Well Being,” toward a PhD earned at the University of Washington. Sharma is a Senior Applied Scientist at the Microsoft Office of Applied Research. They developed fundamental advances in natural language processing to positively impact the mental health of many people. Their approach involves constructing new machine learning models and algorithms that demonstrate psychological and societal understanding. Honorable Mentions for the ACM Doctoral Dissertation Award go to Alexander (Zander) Kelley for their dissertation “Explicit Pseudorandom Distributions for Restricted Models of Computation” toward a PhD earned at the University of Illinois Urbana-Champaign; and Sewon Min for their dissertation, “Rethinking Data Use in Large Language Models,” toward a PhD earned at the University of Washington.

og:type

website

og:image

https://awards.acm.org/binaries/content/gallery/acm/ctas/awards/dda-2024.jpg

og:url

https://awards.acm.org/xpages/doctoral-dissertation/index

twitter:card

summary_large_image

twitter:site

@theofficialacm

twitter:title

Ashish Sharma receives the 2024 ACM Doctoral Dissertation Award

twitter:description

For developing fundamental advances in natural language processing to positively impact the mental health of many people. Honorable Mentions go to Alexander (Zander) Kelley and Sewon Min

twitter:image

https://awards.acm.org/binaries/content/gallery/acm/ctas/awards/dda-2024.jpg

shortcut icon

/catalog/favicon.ico?v=10

stylesheet

/css/acm.css?antiCache=1744907005937

stylesheet

/css/print.css?antiCache=1744907005937