Drishti Goel

CS PhD student @UIUC OnCARE Lab | Prev. Research Fellow @Microsoft M365 Research

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I am a second-year PhD student in Computer Science at the University of Illinois, Urbana-Champaign, where I work at the OnCARE Lab, advised by Prof. Koustuv Saha. In Summer 2026, I was a Research Intern with the Future Experiences (FX) team at Microsoft Research, advised by Dr. Martez Mott and Dr. Denae Ford Robinson. Before my PhD, I spent two years as a Predoctoral Research Fellow at Microsoft's M365 Research team, advised by Supriyo Ghosh and Chetan Bansal. There, my work focused on advancing cloud system reliability by driving innovations using large language models (LLMs) and smaller language models (SLMs), to enhance operational efficiency and root cause analysis of complex incidents. My work in these areas has culminated in publications at top-tier venues and has also been adopted by over 150 teams, and projected to scale over 500 teams at Microsoft.

I completed my bachelors in Electrical and Computer Science from the Dayalbagh Educational Institute, where I was fortunate to have worked with and mentored by Prof. C. Patvardhan, Swathi Swaminathan from the Grahn Lab, Lt. Prof. Hansraj K. and Dr. V. Prem Prakash

My current research interests are as follows:

  • Human-centered Artificial Intelligence
  • Large Language Models (LLMs) and Domain-Specific AI Adaptations
  • Health-AI and Responsible AI in Real-World Applications
  • AI for Software Engineering and Developer Productivity

I am particularly excited about the transformative era of artificial intelligence which we are witnessing, and want to make these technologies human-centered, and extend these to real-world applications in the industry, academia and society.


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CS PhD Student @UIUC Research Fellow Research Intern, UWO Canada, Grahn Lab Electrical Engineering with a specialization in Computer Science
2025 - Present 2023 - 2025 June - August, 2022 2019 - 2023

Latest News

2026 Papers accepted at CHI'26, ACL'26, HCOMP'26 and ASE'26. See Publications below.
May, 2026 Started my summer Research Internship with the Future Experiences (FX) team at Microsoft Research, Redmond, advised by Dr. Martez Mott and Dr. Denae Ford Robinson.
Aug, 2025 Started my PhD in Computer Science at OnCARE Lab, University of Illinois Urbana-Champaign, advised by Prof. Koustuv Saha.
May, 2025 Recieved the Distinguished Paper Award at ICSE SEIP'25 for our work on "Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI Driven Era" Read
Jan, 2025 Book Release: Defy Your Gravity - Rise Above Challenges and Embrace Your True Potential Buy Now!
Nov, 2024 Recorded over 25 songs over the past year as part of the "Global Children's Diversity Drive Initiative" based in Agra.
Aug, 2024 Presented my independent research work with Vaibhav Ganatra at the Machine learning for Healthcare(MLHC) conference, University of Toronto, Canada
Jan, 2024 Graduated & Awarded the Institute's Founder's Medal for exhibiting academic, social service and leardship skills and all-rounder excellence (Awarded to 1 among all graduate students). Featured [here]
Sept, 2023 Microsoft FHL Grand Winner: MediTrain AI - Empowering the doctors of tomorrow, today. View our project [here]

Publications

(* = Equal Contribution)

Preprint

CareMirror: Bringing Caregiver Wellbeing into the Dementia Care Ecosystem

JiaYue Melissa Shi, Ethan Nguyen, Drishti Goel, Upasana Natarajan, Shashwat Srivatsa, Daniel S. Brown, Violeta J. Rodriguez, Dong Whi Yoo, Indira Uniyal, Ravi Karkar, Koustuv Saha

Under Submission Read

ACL'26

Rubric-Driven Risk Mitigation in Caregiver-AI Interactions Optimization

Drishti Goel, Jeongah Lee, Qiuyue Zhong, Violeta J. Rodriguez, Daniel S. Brown, Ravi Karkar, Dong Whi Yoo, Koustuv Saha

Annual Meeting of the Association for Computational Linguistics (ACL 2026) Read

Preprint

A Taxonomy of Mental Health and Technology Needs for Alzheimer’s and Dementia Caregivers

Keran Wang, Drishti Goel, Jiayue Melissa Shi, Violeta J. Rodriguez, Daniel S. Brown, Dong Whi Yoo, Ravi Karkar, Koustuv Saha

Under Submission Read

HCOMP'26

When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support

Drishti Goel, Agam Goyal, Veda Duddu, Olivia Pal, Violeta J. Rodriguez, Daniel S. Brown, Ravi Karkar, Dong Whi Yoo, Koustuv Saha

ACM Conference on Human-AI Complementarity and Alignment (HCOMP 2026) Read

Preprint

Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles

Drishti Goel, Agam Goyal, Veda Duddu, Olivia Pal, Jeongah Lee, Qiuyue Joy Zhong, Violeta J. Rodriguez, Daniel S. Brown, Dong Whi Yoo, Ravi Karkar, Koustuv Saha

Under Submission Read

Preprint

FixItFlow: Automated Troubleshooting Guide Generation from Cloud Incidents

Srihari Unnikrishnan, Jaskaran Singh Walia, Drishti Goel, Supriyo Ghosh

Under Submission Read

CHI'26

Do We Know What They Know We Know? Calibrating Student Trust in AI and Human Responses Through Mutual Theory of Mind

Olivia Pal, Veda Duddu, Agam Goyal, Drishti Goel, Koustuv Saha

ACM Conference on Human Factors in Computing Systems (CHI 2026) Read

ASE'26

Efficient Automated Root Cause Analysis with Prompt Optimization

Drishti Goel, Raghav Magazine, Supriyo Ghosh, Akshay Nambi, Prathamesh Deshpande, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan

IEEE/ACM International Conference on Automated Software Engineering (ASE 2026) Read

ICSE SEIP'25🏆 Distinguished Paper

Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI Driven Era

Sukrit Kumar*, Drishti Goel*, Thomas Zimmermann, Brian Houck, B. Ashok, Chetan Bansal

47th International Conference on Software Engineering, Software Engineering in Practice track (ICSE SEIP 2025) Read

MLHC'24

PRECISe: Prototype-Reservation for Explainable Classification under Imbalanced and Scarce-Data Settings

Vaibhav Ganatra, Drishti Goel

Machine Learning for Healthcare (MLHC 2024) Read

FSE'24

X-Lifecycle Learning for Cloud Incident Management using LLMs

Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan

Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering (FSE 2024) Read