Bhavya headshot

Bhavya Ghai

PhD Candidate
Department of Computer Science
Stony Brook University
bghai at cs dot stonybrook dot edu

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Bio

Bhavya Ghai is a final-year PhD Candidate, advised by Prof. Klaus Mueller, at the Computer Science department, Stony Brook University. His research, at the intersection of Machine Learning (ML), Human-Computer Interaction (HCI) and Data Visualization, focuses on human-centered AI approach to audit and mitigate algorithmic bias at different stages of the ML pipeline. This includes building visual interactive systems, conducting empirical studies, and developing ML models to tackle social biases based on gender, race, etc. from tabular datasets, word embeddings and classification models. His work has been featured at top-tier venues like IEEE VIS, ACM CIKM, CHI, CSCW, DIS and ASSETS. He is the recipient of multiple awards including Bloomberg Immersion fellowship, Data Science for Social Good fellowship by Georgia Tech, Chairman Fellowship Award by Stony Brook University, Junior Researcher Award by the Institute of Advanced Computational Sciences, etc. Previously, he worked as an intern at prestigious institutions like Twitter, IBM Research, Bell Labs, Georgia Tech and IIT Delhi. He earned his bachelor’s and master’s degree in Information Technology from Indian Institute of Information Technology, Gwalior in 2016.

Research Interests:

  • Algorithmic Fairness
  • Human Centered AI
  • Data Visualization
  • Explainable AI
  • Human Computer Interaction

** I am on the job market looking for a full-time position to work on Fairness in AI **


Recent Updates




D-BIAS Icon

D-BIAS: A Human in the Loop System for Algorithmic Bias Assessment and Mitigation
Bhavya Ghai and Klaus Mueller
IEEE Visualization Conference, Oklahoma City, VIS 2022
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Cascade Icon

Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions
Bhavya Ghai, Mihir Mishra and Klaus Mueller
ACM Conference on Information and Knowledge Management, Atlanta, CIKM 2022
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DramatVis Icon

DramatVis Personae: Visual Text Analytics for Identifying Social Biases in Creative Writing
Md Naimul Hoque, Bhavya Ghai and Niklas Elmqvist
ACM SIGCHI Conference on Designing Interactive Systems, DIS 2022
PDF Live Demo Code Cite
Fluent Icon

Fluent: An AI Augmented Writing Tool for People who Stutter
Bhavya Ghai and Klaus Mueller
ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2021
PDF Video Code Live Demo Cite
arXiv Paper

WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings
Bhavya Ghai, Md Naimul Hoque, Klaus Mueller
ACM Conference on Human Factors in Computing Systems (LBW), CHI 2021
PDF Code Video Live Demo Cite
arXiv Paper

Explainable Active Learning (XAL): Toward AI Explanations as Interfaces for Machine Teachers
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel Bellamy, Klaus Mueller
ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2020
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arXiv Paper

Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller
Data Science with Human in the Loop Workshop
ACM Conference on Conference on Knowledge Discovery and Data Mining, KDD 2020
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arXiv Paper
Measuring Social Biases of Crowd Workers using Counterfactual Queries
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller
Fair & Responsible AI Workshop
ACM Conference on Human Factors in Computing Systems, Hawaii, CHI 2020
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AAAI-20 poster
Does Speech enhancement of publicly available data help build robust Speech Recognition Systems?
Bhavya Ghai, Buvana Ramanan, Klaus Mueller
AAAI Conference on Artificial Intelligence (extended abstract), New York, NY, AAAI 2020
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MDS paper

Visualization of Multivariate Data with Network Constraints using Multi-Objective Optimization.
Bhavya Ghai, Alok Mishra, Klaus Mueller
IEEE Visualization Conference (extended abstract), Phoenix, AZ, VIS 2017
PDF Poster Video
DSSG Atlanta paper
Using data science as a community advocacy tool to promote equity in urban renewal programs: An analysis of Atlanta's Anti-Displacement Tax Fund.
Jeremy Auerbach, Hayley Barton, Takeria Blunt, Vishwamitra Chaganti, Bhavya Ghai, Amanda Meng, Christopher Blackburn, Ellen Zegura
Bloomberg Data for Good Exchange, New York, NY, D4GX 2017
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Path planning paper

Wave Front Method Based Path Planning Algorithm for Mobile Robots.
Bhavya Ghai, Anupam Shukla
International Conference on ICT for Intelligent Systems, Ahmedabad, ICTIS 2016
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Wireless sensor paper

Energy Efficient Dynamic Nearest Node Election for Localizations of Mobile Node in Wireless Sensor Networks.
Bhavya Ghai, Girish Pradeep Bindalkar, Sanjeev Sharma, Anupam Shukla
IEEE Conference on Computational Intelligence & Computing Research, ICCIC 2015
PDF Cite

Education

Doctoral Program (Ph.D.)
Computer Science Department, Stony Brook University
PhD Adviser: Prof. Klaus Mueller
PhD Thesis: Tackling Algorithmic Bias through Human Centered AI
2016-2022
(expected)
B.Tech + M.Tech (Integrated 5-year program)
Indian Institute of Information Technology, Gwalior
Adviser: Prof. Anupam Shukla
Master's Thesis: Multi-level Ensemble Learning based Recommender System
2011-16

Experience

Engineering Intern
Twitter (META team)
Mentor: Dr. Yunfeng Zhang
May'22-Present
Remote
Research Intern
IBM T. J. Watson Research Center
Mentor: Dr. Q. Vera Liao
Summer'19
Yorktown Heights, NY
Research Intern
Nokia Bell Labs
Mentor: Buvana Ramanan
Summer'18
Murray Hill, NJ
Data Science for Social Good Fellow
Georgia Institute of Technology
Mentor: Prof. Ellen W. Zegura
Summer'17
Atlanta, GA
Teaching Assistant
Stony Brook University
CSE 564 Data Visualization, CSE 214 Data Structures, CSE 337 Scripting Languages, CSE 303 Theory of Computation
Aug'16-May'17
Stony Brook, NY
Research Intern
Indian Institute of Technology, Delhi
Adviser: Prof. G. N. Tiwari
Summer'15
Delhi, India

Awards & Fellowships

Young Writer’s Award
Institute of Advanced Computational Sciences, Stony Brook University
2020
Best Research Talk Award
Graduate Research Day, Stony Brook
2019
Winner, 3 Minute Thesis Competition
Stony Brook University
2019
Junior Researcher Award
Institute of Advanced Computational Sciences, Stony Brook University
2018, 2019
Data Science for Social Good Fellowship (Declined)
University of Washington
2018
Bloomberg Immersion Fellow
Bloomberg
2017
Data Science for Social Good Fellow
Georgia Institute of Technology, Atlanta
2017
Chairman’s Fellowship Award
CS Department, Stony Brook University
2016
Post Graduate Scholarship
All India Council for Technical Education
2015, 2016

Technical Skills


  • Programming: Python, Javascript, C++, Java, SQL, R
  • Data Analytics: Jupyter Notebook, PyTorch, Keras, Spark
  • Visualization: D3.js, Plotly.js, Google Charts, Leaflet, Matplotlib

Miscellaneous


  • Oracle Certified Java Professional, Java SE6, 2014 [PDF]
  • Served as Volunteer for ACM FAccT 2021, ACM IUI 2021, NeurIPS 2020, ACM CSCW 2020, IEEE VIS 2020, PyCon 2018, DSSG Chicago 2017
  • Panel Speaker, Bloomberg Data for Good Exchange, 2017
  • Travel Grant Award, Data Science for Social Good Conference, Chicago, 2017
  • Full Silver Scholarship, ODSC Boston, 2018
  • Travel Grant Award, PyCon, Cleveland, 2018
  • Conference Scholarship, Fairness, Accountability & Transparency conference, New York, 2017
  • Reviewer - IEEE PacificVis 2021, ACM SIGCHI 2022, ACM DIS 2022, IEEE VIS 2022
  • Open Source Contributor - IBM AIF360