Nicholas Pierino Tatonetti
Tatonetti presents The C19 Weekly in 2020
Alma materStanford University
Arizona State University
Scientific career
InstitutionsCedars-Sinai Medical Center
Columbia University
ThesisData-driven detection, prediction, and validation of drug-drug interactions (2012)
Doctoral advisorRuss Altman
WebsiteTatonetti Lab

Nicholas Pierino Tatonetti is an American bioscientist who is Vice Chair of Operations in the Department of Computational Biomedicine and Associate Director of Computational Oncology in the Cancer Center at Cedars-Sinai Medical Center in Los Angeles, California. His lab develops data mining approaches to understand clinical and molecular data.

Early life and education

Tatonetti is originally from Cleveland, Ohio. In 2008, Tatonetti double-majored with bachelors degrees in Computational Mathematical Sciences as well as Molecular Biosciences and Biotechnology at Arizona State University.[1] In his senior year at ASU, he was elected to Phi Beta Kappa, and graduated Summa Cum Laude. He went on to Stanford University as a graduate researcher in biomedical informatics, where he was advised under Russ Altman.[2] Fellow graduate researchers during his doctoral studies include Joel Dudley. During his PhD, he developed novel statistical methods for observational data mining.[3] Under Altman's guidance, Tatonetti created a classifier to detect side effects of drugs based on data available by FAERS .[4] He received his MS and PhD in Biomedical Informatics from Stanford University School of Medicine in 2012, with his dissertation titled Data-driven detection, prediction, and validation of drug-drug interactions. His dissertation committee included Altman, Atul J. Butte, Trevor Hastie, and Phil Tsao.

Research and career

In 2012, Tatonetti started his career as the Herbert Irving Assistant Professor in Biomedical Informatics at the Herbert Irving Comprehensive Cancer Center, Columbia University.. He was made Director of the Clinical Informatics Division in 2013, and Chief Officer for Cancer Data Science in 2022.

In addition, Tatonetti collaborated with Pulitzer Prize-winning journalist Sam Roe of the Chicago Tribune. During their two-year collaboration, they discovered that ceftriaxone and lansoprazole together induce heart arrhythmias. [5][6]

Tatonetti uses data science to inform drug design and to evaluate the effectiveness of potential pharmaceutical candidates for specific people.[7] He combines electronic health records and genomics databases with artificial intelligence and machine learning.[7]

Personal life

Tatonetti has described himself as pansexual and gender non-conforming.[8]

Selected publications

References

  1. ↑ "Faces of AMIA: Nicholas Tatonetti". AMIA - American Medical Informatics Association. Retrieved 2022-10-05.
  2. ↑ Hackett, Stephen M. (2011-05-25). "Doctoral candidate uses MacBook Pro to track drug interactions". Macgasm. Retrieved 2022-10-05.
  3. ↑ "Nicholas Tatonetti – OHDSI". Retrieved 2022-10-05.
  4. ↑ "Russ Altman's TEDMED Talk". TEDMED. Retrieved 2023-12-03.
  5. ↑ "Nicholas Tatonetti, PhD: Always Thinking Outside the Box". Columbia University Department of Systems Biology. Retrieved 2023-12-03.
  6. ↑ "Big Data in Medicine". Radio Health Journal. June 5, 2016. Retrieved 2023-12-04.
  7. 1 2 "Nicholas P. Tatonetti, PhD". Vagelos College of Physicians and Surgeons. 2022-05-23. Retrieved 2022-10-05.
  8. ↑ "Nicholas Tatonetti". 500 Queer Scientists. Retrieved 2022-10-05.
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