PeopleofSuperintelligence

Researcher

Harshita Katoch

Harshita Katoch is a researcher whose work spans machine learning for healthcare, genomic analysis, and evaluation of large language models. She earned a B.Tech in computer science at Christ University in Bangalore in 2020 and began an MSc at RPTU in 2023; she also has around three years of experience in healthcare IT as a software engineer and then a data scientist. In 2019, she coauthored a paper on Bayesian machine learning for ChIP-seq peak calling, and in August 2026 she coauthored a paper on bias correction in LLM evaluation. As of October 2026, she is a research assistant at DFKI's Data Science and its Applications group.

Now at
DFKI

Timeline

  1. 2015–2020

    Computer science at Christ University

    From 2015 to 2020, she studies computer science at Christ University in Bangalore and earns a B.Tech in Computer Science.

  2. 2019

    Bayesian methods for ChIP-seq

    In 2019, she coauthors ChIPSeq Analysis with Bayesian Machine Learning, which uses Bayesian statistical techniques for ChIP-seq peak calling.

  3. Since 2023

    A computer science master's

    She begins an MSc in Computer Science at RPTU in Kaiserslautern in 2023.

  4. August 2026

    An LLM evaluation framework

    In August 2026, she coauthors Accounting for Bias Enables Sustainable LLM Evaluation for the SuRE 2026 workshop at IJCAI-ECAI in Bremen. The paper proposes a unified latent-variable framework that models pairwise and ordinal ratings and corrects biases in LLM judges.

  5. As of October 2026

    Research assistant at DFKI

    As of October 2026, she is a research assistant under Professor Sebastian Vollmer in Data Science and its Applications at DFKI. Her research interests include machine learning for healthcare and neuroinformatics, and she has around three years of experience in healthcare IT as a software engineer and then a data scientist.

Career

  1. NowDFKIResearch assistant

Education

  1. From 2023RPTU University Kaiserslautern-LandauMSc in Computer Science
  2. 2020Christ UniversityB.Tech in Computer Science

From the biography.

  1. Nonprofit roles are 2.3 times as common in AI safetyIncludes DFKI. We estimate where people focused on safety, alignment and evaluation work. Nonprofit roles appear for 25.1% of safety people with known affiliations, compared with 11.0% in other areas.
  2. The top 10 organizations employed 22% of people shaping AI in 2025: 51% of company researchers and 21% of university researchersIncludes DFKI. We estimate the share of people shaping AI who worked at the top 10 organizations each year from 1955 to 2025, comparing concentration across companies, universities, and institutes and labs.
  3. The United States employs an estimated 48% of people shaping AIIncludes DFKI. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes DFKI. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Sources and credits

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  1. Harshita Katoch | Data Science and its Applications dsa.dfki.de. Checked 21 October 2026.
  2. Search results for Harshita Katoch | Library Catalog vufind2.lib.aegean.gr. Checked 21 October 2026.
  3. CEUR-WS.org/Vol-4275 - Workshop on Sustainability and Resource-Efficiency of Artificial Intelligence 2026 ceur-ws.org. Checked 21 October 2026.
  4. Accounting for Bias Enables Sustainable LLM Evaluation arxiv.org. Checked 21 October 2026.
  5. Accounting for Bias Enables Sustainable LLM Evaluation arxiv.org. Checked 21 October 2026.
  6. Team | Data Science and its Applications dsa.dfki.de. Checked 21 October 2026.