--- title: "Andrew D White — author profile and papers in our library" description: "Andrew D White: 5 papers on Elamur Research (2023–2024), h-index 36 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/andrew-d-white/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/andrew-d-white/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Andrew D White # Andrew D White Andrew D White has 5 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Sam Cox](https://md.research.elamur.ai/free/en/authors/sam-cox/), [Samuel G. Rodriques](https://md.research.elamur.ai/free/en/authors/samuel-g-rodriques/). 5 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5103115676) · [ORCID](https://orcid.org/0000-0002-6647-3965) · [Wikidata](https://www.wikidata.org/wiki/Q82974937) · [**h-index 36**](https://openalex.org/authors/A5103115676) · [302 works](https://openalex.org/works?filter=author.id:A5103115676) · [5,106 citations](https://openalex.org/works?filter=author.id:A5103115676&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/andrew-d-white/#papers) · [🔗 Cited 277 times in our library](https://md.research.elamur.ai/free/en/authors/andrew-d-white/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3251](https://md.research.elamur.ai/free/en/paper-stars/page/33/#star-3251) 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=Andrew+D+White) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Andrew+D+White) · [dblp](https://dblp.org/search?q=Andrew+D+White) · [ACL Anthology](https://aclanthology.org/search/?q=Andrew+D+White) ## Affiliations [🎓**University of Rochester** Rochester · United States 2015–2025 · 51 papersEmployment since 2015 · Assistant Professor, Chemical Engineering](https://md.research.elamur.ai/free/en/universities/university-of-rochester/) · [🎓**University of Washington** Seattle · United States 2008–2014 · 14 papersEducation 2008–2013 · Doctor of Philosophy, Chemical Engineering](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🤝**Future House, Inc.** San Francisco · United States 2024–2025 · 5 papers](https://md.research.elamur.ai/free/en/ngos/future-house-inc/) · [🎓**University of Chicago** Chicago · United States 2013–2018 · 4 papersEmployment 2013–2014 · Postdoctoral Researcher with Prof Gregory A. Voth, Chemistry & Institute for Biophysical Dynamics](https://md.research.elamur.ai/free/en/universities/university-of-chicago/) · [🎓**Cornell University** Ithaca · United States 1984–2002 · 2 papers](https://md.research.elamur.ai/free/en/universities/cornell-university/) 🏛️**FutureHouse** San Francisco · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2023Employment since 2023 · Head of Science [🎓**Rose–Hulman Institute of Technology** Terre Haute · United States 2004–2008Education 2004–2008 · Bachelor of Science, Magna Cum Laude, Chemical Engineering](https://ror.org/00mp6e841) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 11 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Materials Science · 2 works](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computational Theory and Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Materials Chemistry · 2 works](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Artificial intelligence · 1 work](https://md.research.elamur.ai/free/en/concepts/artificial-intelligence/) ## Works by year ### 2020s [**2024** 3 papers](https://md.research.elamur.ai/free/en/authors/andrew-d-white/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/andrew-d-white/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Review of Large Language Models and Autonomous Agents in Chemistry](https://md.research.elamur.ai/free/en/papers/ramos-2024-review-large-language-models-autonomous/)** *(2024 · 288 citations)* Chemistry faces four linked bottlenecks: predicting properties of candidate compounds, generating molecules that meet target profiles (inverse design), planning efficient syntheses, and automating lab work. 2. **[ChemCrow: Augmenting large-language models with chemistry tools](https://md.research.elamur.ai/free/en/papers/bran-2023-chemcrow-augmenting-large-language/)** *(2023 · 211 citations)* General-purpose LLMs such as GPT-4 often fail at chemistry. They cannot reliably convert IUPAC names into structures, and they have no access to specialised software or databases. Meanwhile, many strong computational chemistry tools exist, but non-programmers find them hard to combine. ChemCrow addresses both… 3. **[PaperQA: Retrieval-Augmented Generative Agent for Scientific Research](https://md.research.elamur.ai/free/en/papers/lala-2023-paperqa-retrieval-augmented-generative/)** *(2023 · 109 citations)* Scientific literature grows faster than researchers can read it, and plain LLMs answering science questions tend to invent facts, give no traceable sources, and know nothing published after their training cutoff. 4. **[Language agents achieve superhuman synthesis of scientific knowledge](https://md.research.elamur.ai/free/en/papers/skarlinski-2024-language-agents-achieve-superhuman/)** *(2024 · 89 citations)* Can LLM-based systems be trusted to search, summarize, and critically examine scientific literature? The authors address this with an evaluation framework that compares an AI agent directly against PhD-level experts on three realistic tasks: answering questions that require retrieval from full-text papers, writing… 5. **[LAB-Bench: Measuring Capabilities of Language Models for Biology Research](https://md.research.elamur.ai/free/en/papers/laurent-2024-lab-bench-measuring-capabilities/)** *(2024 · 62 citations)* Most science benchmarks for LLMs test textbook-style recall, not the practical work researchers do every day. LAB-Bench, from FutureHouse, fills this gap for biology. It contains more than 2,400 multiple-choice questions covering: ## All works 7 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. [**A Review of Large Language Models and Autonomous Agents in Chemistry arXiv:2407.01603**Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White*2024 · 288 citations*](https://md.research.elamur.ai/free/en/papers/ramos-2024-review-large-language-models-autonomous/) 2. [**ChemCrow: Augmenting large-language models with chemistry tools arXiv:2304.05376**Andres M Bran, Sam Cox, Oliver Schilter, et al.*2023 · 211 citations*](https://md.research.elamur.ai/free/en/papers/bran-2023-chemcrow-augmenting-large-language/) 3. [**PaperQA: Retrieval-Augmented Generative Agent for Scientific Research arXiv:2312.07559**Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski, et al.*2023 · 109 citations*](https://md.research.elamur.ai/free/en/papers/lala-2023-paperqa-retrieval-augmented-generative/) 4. [**Language agents achieve superhuman synthesis of scientific knowledge arXiv:2409.13740**Michael D. Skarlinski; Sam Cox; Jon M. Laurent; James D. Braza; Michaela Hinks; Michael J. Hammerling; Manvitha Ponnapati; Samuel G. Rodriques;, Andrew D. White*2024 · 89 citations*](https://md.research.elamur.ai/free/en/papers/skarlinski-2024-language-agents-achieve-superhuman/) 5. [**LAB-Bench: Measuring Capabilities of Language Models for Biology Research arXiv:2407.10362**Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, et al.*2024 · 62 citations*](https://md.research.elamur.ai/free/en/papers/laurent-2024-lab-bench-measuring-capabilities/) 6. **[Kosmos: An AI Scientist for Autonomous Discovery ↗](https://arxiv.org/abs/2511.02824) arXiv:2511.02824 · no summary yet**Ludovico Mitchener; Angela Yiu; Benjamin Chang; Mathieu Bourdenx; Tyler Nadolski; Arvis Sulovari; Eric C. Landsness; Daniel L. Barabasi; Siddharth Narayanan; Nicky Evans; Shriya Reddy; Martha Foiani; Aizad Kamal; Leah P. Shriver; Fang Cao; Asmamaw T. Wassie; Jon M. Laurent; Edwin Melville-Green; Mayk Caldas; Albert Bou; Kaleigh F. Roberts; Sladjana Zagorac; Timothy C. Orr; Miranda E. Orr; Kevin J. Zwezdaryk; Ali E. Ghareeb; Laurie McCoy; Bruna Gomes; Euan A. Ashley; Karen E. Duff; Tonio Buonassisi; Tom Rainforth; Randall J. Bateman; Michael Skarlinski; Samuel G. Rodriques; Michaela M. Hinks;, Andrew D. White*2025 · 29 citations* 7. **[Aviary: training language agents on challenging scientific tasks ↗](https://arxiv.org/abs/2412.21154) arXiv:2412.21154 · no summary yet**Siddharth Narayanan et al.*2024 · 18 citations* ## Co-authors here 2 co-authors with a page, the most papers together first. - [Sam Cox](https://md.research.elamur.ai/free/en/authors/sam-cox/) ×2 - [Samuel G. Rodriques](https://md.research.elamur.ai/free/en/authors/samuel-g-rodriques/) ×2 ## Cited by Papers of our library cite their works 277 times (of the 149,439 papers whose bibliographies we read); [64 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/andrew-d-white/cited-by/). Updated 2 November 2026