PeopleofSuperintelligence

Researcher

Josh Givens

Josh Givens is a computational statistician whose machine-learning research addresses missing data and treatment-effect analysis. He earned a first-class MMath at Bath, completed a PhD in Computational Statistics at Bristol, and worked in biostatistics at Amgen and quantitative research at G-Research. His papers adapt density-ratio estimation and score matching to incomplete data and develop quantile methods for treatment effects; his work won a best poster award in 2024 and an ICML Outstanding Paper Award in 2025. He is a Research Scientist at Isomorphic Labs.

Badges

Timeline

  1. 2016–2021

    Mathematics with placement at Bath

    In 2021, he earns a first-class MMath in Mathematics with Placement at the University of Bath.

  2. 2018–2019

    A biostatistics placement at Amgen

    From June 2018 to September 2019, he completes a yearlong biostatistics placement at Amgen.

  3. 2021–2025

    A Bristol PhD in computational statistics

    He completes a PhD in Computational Statistics at Bristol's COMPASS CDT in 2025. His thesis on differential model estimation with missing data is supervised by Song Liu and Henry Reeve.

  4. 2023

    Density ratios with missing data

    At AISTATS 2023, he coauthors a method for density-ratio estimation when data are missing not at random. It adapts KLIEP to restore consistency and extends Neyman–Pearson classification to that setting.

  5. 2024

    Quantile contrasts and a poster award

    In 2024, he coauthors “Conditional Outcome Equivalence: A Quantile Alternative to CATE,” which introduces the conditional quantile comparator for heterogeneous treatment effects. He also wins a best poster award at the 2024 Japan Machine Learning Summer School.

  6. 2025

    G-Research and an ICML award

    From June 2025 to September 2025, he works as a Quantitative Research Intern at G-Research. His paper “Score Matching with Missing Data” receives an Outstanding Paper Award at ICML 2025 and adapts score matching to incomplete observations through importance-weighting and variational methods.

  7. 2026

    Direct estimation of quantile contrasts

    In 2026, he coauthors “Direct Doubly Robust Estimation of Conditional Quantile Contrasts,” which proposes a direct estimator of the conditional quantile comparator for heterogeneous treatment-effect analysis.

  8. As of October 2026

    Research scientist at Isomorphic Labs

    He is a Research Scientist at Isomorphic Labs.

Career

  1. NowIsomorphic LabsResearch Scientist
  2. 2025G-ResearchQuantitative Research Intern
  3. 2018–2019AmgenBiostatistics Placement

Education

  1. 2025University of BristolPhD
  2. 2021University of BathMMath

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 Josh Givens. 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. Google had the most people shaping AI every year from 2014 to 2025Includes Google. Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  3. Google has the highest combined h-index among AI organizationsIncludes Google. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  4. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes Google. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.

Sources and credits

Photo: We have no published photo of Josh Givens yet. Send us a free-licensed photo.

  1. CV - Josh Givens joshgivens.github.io. Checked 21 October 2026.
  2. Josh Givens – Compass Blog compass.blogs.bristol.ac.uk. Checked 21 October 2026.
  3. Compass Alumni – Compass Blog compass.blogs.bristol.ac.uk. Checked 21 October 2026.
  4. Density Ratio Estimation and Neyman Pearson Classification with Missing Data proceedings.mlr.press. Checked 21 October 2026.
  5. Conditional Outcome Equivalence: A Quantile Alternative to CATE papers.nips.cc. Checked 21 October 2026.
  6. Compass student and supervisors win ICML Outstanding Paper Award – Compass Blog compass.blogs.bristol.ac.uk. Checked 21 October 2026.
  7. Score Matching with Missing Data proceedings.mlr.press. Checked 21 October 2026.
  8. Direct Doubly Robust Estimation of Conditional Quantile Contrasts arxiv.org. Checked 21 October 2026.