Bhavya headshot

Bhavya Ghai

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

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Hi! I am a PhD Candidate working with Prof. Klaus Mueller in the Computer Science Department at Stony Brook University. I love crunching numbers & developing interactive systems to tackle high impact social problems. My current research aims at tackling Algorithmic bias in different ML systems such as classification and Word Embeddings using Human centered AI. The goal of my research is to enhance Fairness, Accountability and Explainability of ML systems. As a research intern, I got the opportunity to work at prestigious research institutions like IBM Research, Bell Labs, Georgia Tech and IIT Delhi. I am also the recipient of Bloomberg Immersion fellowship, Data Science for Social Good fellowship, IACS Junior researcher Award, Chairman Fellowship Award, etc.

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: A Human in the Loop System forAlgorithmic Bias Assessment and Mitigation
Bhavya Ghai and Klaus Mueller
under review at IEEE VIS 2022
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, ACM DIS, 2022
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Fluent Icon

Fluent: An AI Augmented Writing Tool for People who Stutter
Bhavya Ghai and Klaus Mueller
ACM SIGACCESS Conference on Computers and Accessibility, ACM 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), ACM SIGCHI, 2021
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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 SIGKDD, August 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 SIGCHI, Hawaii, April 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, Feb.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 VIS Conference (extended abstract), Phoenix, AZ, Oct.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, Aug.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, IEEE ICCIC 2015
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Doctoral Program (Ph.D.)
Computer Science Department, Stony Brook University
PhD Adviser: Prof. Klaus Mueller
PhD Thesis: Tackling Algorithmic Bias through Human Centered AI
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


Engineering Intern
Twitter (META team)
Mentor: Dr. Yunfeng Zhang
Research Intern
IBM T. J. Watson Research Center
Mentor: Dr. Q. Vera Liao
Yorktown Heights, NY
Research Intern
Nokia Bell Labs
Mentor: Buvana Ramanan
Murray Hill, NJ
Data Science for Social Good Fellow
Georgia Institute of Technology
Mentor: Prof. Ellen W. Zegura
Atlanta, GA
Teaching Assistant
Stony Brook University
CSE 564 Data Visualization, CSE 214 Data Structures, CSE 337 Scripting Languages, CSE 303 Theory of Computation
Stony Brook, NY
Research Intern
Indian Institute of Technology, Delhi
Adviser: Prof. G. N. Tiwari
Delhi, India

Awards & Fellowships

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


  • 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