---
title: "Jian Vora · Stanford University — author profile and papers"
description: "Jian Vora, Stanford University: 2 papers on Elamur Research (2023–2024), h-index 3 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/jian-vora/"
---
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# Jian Vora

Jian Vora has 2 papers in our library, in 2023–2024; often with [Jure Leskovec](https://md.research.elamur.ai/free/en/authors/jure-leskovec/), [Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/), [Qian Huang](https://md.research.elamur.ai/free/en/authors/qian-huang/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5051017353) · [**h-index 3**](https://openalex.org/authors/A5051017353) · [9 works](https://openalex.org/works?filter=author.id:A5051017353) · [33 citations](https://openalex.org/works?filter=author.id:A5051017353&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jian-vora/#papers) · [🔗 Cited 151 times in our library](https://md.research.elamur.ai/free/en/authors/jian-vora/cited-by/) · [⭐ Paper Stars ranking: #7053](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7053)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jian+Vora) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jian+Vora) · [dblp](https://dblp.org/search?q=Jian+Vora) · [ACL Anthology](https://aclanthology.org/search/?q=Jian+Vora)

## Affiliations

[🎓**Stanford University** Stanford · United States 2021–2024 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Indian Institute of Technology Bombay** Mumbai · India 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/indian-institute-of-technology-bombay/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jian-vora/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jian-vora/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation](https://md.research.elamur.ai/free/en/papers/huang-2023-mlagentbench-evaluating-language-agents/)** *(2023 · 147 citations)* MLAgentBench asks whether agents built on large language models can run machine learning experiments on their own: design an approach, write and execute code, read the results, and iterate.
2. **[BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments](https://md.research.elamur.ai/free/en/papers/roohani-2024-biodiscoveryagent-ai-agent-designing-genetic/)** *(2024 · 29 citations)* Genome-wide CRISPR screens are expensive. Roughly 19,000 protein-coding genes can be repressed or activated, yet usually only a small fraction produce the phenotype of interest. Closed-loop design tests genes in batches and uses each round's results to choose the next. The standard Bayesian optimization approach has…

## Co-authors here

5 co-authors with a page, the most papers together first.

- [Jure Leskovec](https://md.research.elamur.ai/free/en/authors/jure-leskovec/) ×2
- [Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/) ×2
- [Qian Huang](https://md.research.elamur.ai/free/en/authors/qian-huang/) ×2
- [Andrew Lee](https://md.research.elamur.ai/free/en/authors/andrew-lee/)
- [Kexin Huang](https://md.research.elamur.ai/free/en/authors/kexin-huang/)

## Cited by

Papers of our library cite their works 151 times (of the 149,439 papers whose bibliographies we read); [79 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jian-vora/cited-by/).

Updated 3 November 2026
