background

What was I up to in my previous life?

From 2024 to 2026, I was a postdoc with Prof. Isabelle Augenstein at CopeNLU, Department of Computer Science, University of Copenhagen, supported by the Pioneer Centre for AI. Before that, I did my PhD on applying computational techniques to analyse hate speech on the Web, supervised by Dr. Tanmoy Chakraborty and Prof. Vikram Goyal. I was hosted at the Laboratory for Computational Social Systems (LCS2) at Indraprastha Institute of Information Technology, New Delhi. In 2024, I was selected as one of the Young Researchers for the 11th Heidelberg Laureate Forum. During my PhD, I was fortunate to receive financial support from the Google PhD Fellowship (2023-2024), the Prime Minister Doctoral Research Fellowship (PMRF, 2020-2023), and WiproAI (2020-2023). Some public coverage of my research is available here.

Prior to joining academia, I worked as a data scientist in developer tooling at Red Hat, Bangalore, for 2.5 years. The work revolved around providing developer analytics to the OpenShift.io platform. Our work contributed to a plugin for VS Code and got featured in TechCrunch. Even before that, in 2016, I obtained a Bachelor of Technology in Computer Science & Engineering from Jamia Millia Islamia.

Since 2020, I have been volunteering as a reviewer for the Journal of Open Source Software. From 2016 to 2024, I was a volunteer and mentor with AnitaB.org. I also served as a member of their AI Committee.

Education

Degrees

  • Doctorate: Ph.D. in Computer Science
  • Bachelors: B.Tech. in Computer Science
    • Time period: Aug 2012 - May 2016
    • College: Dept. of CSE, Faculty of Engineering & Technology, Jamia Millia Islamia
    • CGPA: 9.5/10 (Department Rank 4/75)
    • Thesis: Fuzzy Taxonomy Extraction on Big Data
    • Thesis Supervisors: Dr. Tanvir Ahmad, Dr. Rafeeq Ahmad
  • High School Diploma: Science Stream
    • Time period: Apr 2010 - Apr 2012
    • School: Frank Anthony Public School, Delhi
    • Score: 9.35/10 (ICSE Board)

Summer Schools & Symposiums

Selected for the following ML schools and symposiums

  • 2025: Pre-ACL Workshop (Copenhagen), Cardiff NLP Summer Workshop (Cardiff), Advanced Language Processing School, ALPS (Aussois), Nordic Pre-CHI (Copenhagen)
  • 2024: 11th Heidelberg Laureate Forum (Heidelberg), ACM-W Grad Cohort India (Hyderabad), Google Research Week (Bangalore)
  • 2023: Google Bindi Summit (Bangalore), ACM India Academic Research and Careers for Students Symposium, ARCS (Bhopal)
  • 2022: Google Research Week (Online), Eastern European Machine Learning Summer School (Online), Online Asian Machine Learning School (Online)
  • 2021: Eastern European Machine Learning Summer School (Online)
  • 2020: ACM-W Grad Cohort India (Online), Google Pathways for PhDs (Online)
  • 2019: Summer School on AI Assisted Data Analytics (Delhi)

Certifications

  • 2015: Training in Analytics Using R, SAS, Python (Delhi): Certificate
  • 2015: Python Training, Spoken Tutorial Project, IIT Bombay (Online): Certificate

Experience

Research

  • Sep 2024 - May 2026: Postdoc, DIKU + P1, Copenhagen
  • May 2023 - Aug 2023: Visiting Researcher, TUM School of Social Sciences and Technology, Munich
  • Aug 2019 - Dec 2019: Research Associate, LCS2, IIIT Delhi
  • Mar 2019 - May 2019: Policy Research Intern, WERP India Pvt. Ltd., Remote

Engineering

  • Jun 2026 - Present: AI Engineer, Guardsix, Copenhagen
  • Nov 2016 - Sep 2018: Data Science & Engineering, Red Hat, Bangalore
    • Worked on Dependency Analytics for OpenShift.io: data collection and cleaning, graph databases, license conflict resolution, and package recommendations using probabilistic graphical models and matrix factorization. Also handled data engineering and testing for the platform backend, and presented the product at meetups and conferences.
  • Jun 2016 - Oct 2016: Data Science Intern, Red Hat, Bangalore
    • Built proofs of concept for license and CVE analysis of npm packages, and the baseline data models for loading them into a graph database.
  • Jun 2015 - Jul 2015: Summer Intern, DecisionStats, Delhi
  • Sep 2014 - Feb 2015: OWASP-ZAP Intern, Mozilla Winter of Security, Remote

Pro Bono

  • Nov 2024 - Present: Member, DIKU Postdoc Committee, University of Copenhagen
  • Feb 2020 - Present: Reviewer, Journal of Open Source Software (JOSS), Remote

Honors

Accolades

Academic Scholarships

  • 2025: DAAD AI-NeT Fellow
  • 2024: AnitaB.org Advancing Inclusion Scholarship
  • 2023 - 2024: Google PhD Fellowship
  • 2023: Overseas Research Fellowship, IIIT Delhi
  • 2020 - 2023: Prime Minister Doctoral Fellowship, SERB, Government of India
  • 2018: DataCamp Women Access Scholarship (10th on the overall scoreboard)
  • 2017, 2016: Women Who Code Access Scholarships
  • 2012 - 2014: Department Merit Scholar, Dept. of Computer Engineering, Jamia Millia Islamia
  • 2012: Mr. Harbinder Singh Dugal Rolling Trophy in Science, Frank Anthony Public School
  • 2010: Mr. George W. Mayer Memorial in STEM, Frank Anthony Public School

Conference Grants

  • 2024: ACL Student Registration Grant (ACL 2024)
  • 2020 - 2023: ACM SIG Student Registration Awards (KDD 2023, KDD 2022, WSDM 2022, KDD 2020)
  • 2022: Microsoft India Travel Grant (KDD 2022)
  • 2021 - 2022: AnitaB.org Committee Registration (GHC 2022, GHC 2021)
  • 2022: Women Who Code Conference Scholarship (CONNECT REIMAGINE 2022)
  • 2021: Carolyn Leighton Scholarship (WITI APAC Summit 2021)
  • 2019: Systers Google I/O Travel Award, AnitaB.org (Google I/O 2019)
  • 2017: Google Travel Grant (GHC 2017)
  • 2017: Diversity Scholarship (Data Intelligence Conference 2017)
  • 2014 - 2015: Student Travel Grant (GHCI 2015, GHCI 2014)
  • 2014: Student Travel Grant (AdaCamp Bangalore 2014)