Nicholas Tatonetti
Nicholas Tatonetti is an American bioscientist who is Professor of Biomedical Informatics and Chief Officer of Cancer Data Science at the Herbert Irving Comprehensive Cancer Center, Columbia University. His lab develops data mining approaches to understand clinical and molecular data.
Nicholas Pierino Tatonetti | |
---|---|
![]() Tatonetti presents The C19 Weekly in 2020 | |
Alma mater | Stanford University Arizona State University |
Scientific career | |
Institutions | Columbia University |
Thesis | Data-driven detection, prediction, and validation of drug-drug interactions (2012) |
Doctoral advisor | Russ Altman |
Website | Tatonetti Lab |
Early life and education
Tatonetti was an undergraduate at Arizona State University.[1] He majored in computational mathematics and biotechnology.[1] In 2008, he completed a bachelor's degree, and moved to Stanford University as a graduate researcher, where he worked with Russ Altman in biomedical informatics.[2] During his PhD, he developed novel statistical methods for observational data mining.[3]
Research and career
In 2012, Tatonetti started his career as the Herbert Irving Assistant Professor in Biomedical Informatics at Columbia University. He was made Director of the Clinical Informatics Division in 2013, and Chief Officer for Cancer Data Science in 2022.
Tatonetti uses data science to inform drug design and to evaluate the effectiveness of potential pharmaceutical candidates for specific people.[4] He combines electronic health records and genomics databases with artificial intelligence and machine learning.[4]
Personal life
Tatonetti has described himself as pansexual and gender non-conforming.[5]
Selected publications
- Scott J Dixon; Darpan N Patel; Matthew Welsch; et al. (20 May 2014). "Pharmacological inhibition of cystine-glutamate exchange induces endoplasmic reticulum stress and ferroptosis". eLife. 3: e02523. doi:10.7554/ELIFE.02523. ISSN 2050-084X. PMC 4054777. PMID 24844246. Wikidata Q33745283.
- Nicholas P Tatonetti; Patrick P Ye; Roxana Daneshjou; Russ B Altman (14 March 2012). "Data-driven prediction of drug effects and interactions". Science Translational Medicine. 4 (125): 125ra31. doi:10.1126/SCITRANSLMED.3003377. ISSN 1946-6234. PMC 3382018. PMID 22422992. Wikidata Q24599300.
- Michael Zietz; Jason Zucker; Nicholas P. Tatonetti (13 November 2020). "Associations between blood type and COVID-19 infection, intubation, and death". Nature Communications. 11 (1): 5761. Bibcode:2020NatCo..11.5761Z. doi:10.1038/S41467-020-19623-X. ISSN 2041-1723. PMID 33188185. Wikidata Q102058933.
References
- "Faces of AMIA: Nicholas Tatonetti". AMIA - American Medical Informatics Association. Retrieved 2022-10-05.
- Hackett, Stephen M. (2011-05-25). "Doctoral candidate uses MacBook Pro to track drug interactions". Macgasm. Retrieved 2022-10-05.
- "Nicholas Tatonetti – OHDSI". Retrieved 2022-10-05.
- "Nicholas P. Tatonetti, PhD". Vagelos College of Physicians and Surgeons. 2022-05-23. Retrieved 2022-10-05.
- "Nicholas Tatonetti". 500 Queer Scientists. Retrieved 2022-10-05.