PeopleofSuperintelligence

Researcher

Krishnaram Kenthapadi

Krishnaram Kenthapadi is a computer scientist who builds fairness, privacy and trustworthiness into machine-learning systems, and who now works on clinical AI. He earned a PhD in computer science at Stanford in 2006 and worked at Microsoft Research Silicon Valley and LinkedIn, where he co-authored a 2019 KDD paper on fairness-aware ranking that reached all LinkedIn Recruiter users. At Amazon AWS AI he led fairness, explainability and privacy work behind Amazon SageMaker Clarify, which launched in December 2020, and he later served as Chief AI Officer and Chief Scientist at Fiddler AI. A healthcare-assistant safety paper he co-authored won the ML4H Best Paper Award in 2025. He is Chief Scientist, Clinical AI at Oracle Health.

Now at
Oracle
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Timeline

  1. 2006

    A Stanford doctorate

    He earns a Ph.D. in computer science at Stanford University in 2006, advised by Rajeev Motwani, after a bachelor's degree in computer science and engineering at the Indian Institute of Technology Madras.

  2. By 2019

    Microsoft Research and LinkedIn

    By 2019, he has worked as a researcher at Microsoft Research Silicon Valley and has joined LinkedIn's AI team, where he is relevance lead for the Careers and Talent Solutions relevance team. He also co-authors the second paper on differential privacy.

  3. 2019

    Fairness-aware ranking at LinkedIn

    In 2019, he co-authors with Sahin Cem Geyik and Stuart Ambler a KDD paper on fairness-aware re-ranking in search and recommendation systems. The approach raises the number of LinkedIn Talent Search queries with representative results nearly threefold and is deployed to 100% of LinkedIn Recruiter users worldwide.

  4. December 2020

    Launching Amazon SageMaker Clarify

    As a Principal Scientist at Amazon AWS AI, he leads the fairness, explainability, privacy and model understanding initiatives and shapes Amazon SageMaker Clarify from inception to launch. Clarify, a SageMaker feature that identifies biases and explains predictions, launches in December 2020.

  5. By 2023

    Chief scientist at Fiddler AI

    By 2023, he is Chief AI Officer and Chief Scientist of Fiddler AI, an enterprise startup building a responsible AI and ML monitoring platform. There he leads generative AI work, including Fiddler Auditor, an open-source library for evaluating and red-teaming LLMs before deployment.

  6. 2025

    RedactOR for clinical data

    In 2025, he co-authors RedactOR, an LLM-powered framework that de-identifies clinical records, including clinical audio. The paper is accepted to the ACL 2025 Industry Track and describes the framework's integration with the Oracle Health Clinical AI system.

  7. 2025

    An ML4H Best Paper Award

    A paper he co-authors with Hal Daumé III and colleagues, on iterative preference alignment for balancing safety and helpfulness in healthcare AI assistants, receives the Best Paper Award at ML4H 2025.

  8. As of October 2026

    Chief Scientist at Oracle Health

    As of October 2026, he is Chief Scientist, Clinical AI at Oracle Health, where he leads the AI initiatives for the Clinical Digital Assistant and other Oracle Health products.

Career

  1. NowOracleChief Scientist, Clinical AI
  2. Microsoft ResearchResearcher
  3. LinkedInRelevance Lead
  4. AmazonPrincipal Scientist
  5. Fiddler AIChief AI Officer and Chief Scientist

Education

  1. 2006Stanford UniversityPh.D.
  2. IIT MadrasBachelor's degree in Computer Science and Engineering

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Krishnaram Kenthapadi. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Oracle. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes Amazon. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.
  4. LinkedIn (1,377) and X (1,193) lead social platforms across 1,935 people shaping AIIncludes LinkedIn. We find social, code or video accounts for 1,935 of the 7,547 people shaping AI (26%), led by LinkedIn (1,377), X (1,193) and GitHub (557).

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Krishnaram Kenthapadi's Homepage cs.stanford.edu. Checked 21 October 2026.
  2. Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search arxiv.org. Checked 21 October 2026.
  3. Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud arxiv.org. Checked 21 October 2026.
  4. Krishnaram Kenthapadi - The AI Conference aiconference.com. Checked 21 October 2026.
  5. RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification arxiv.org. Checked 21 October 2026.
  6. Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment arxiv.org. Checked 21 October 2026.
  7. Krishnaram Kenthapadi | Wadhwani School of Data Science and Artificial Intelligence wsai.iitm.ac.in. Checked 21 October 2026.