Nathaniel D. Phillips, PhD
Healthcare Decision Scientist
I design transparent analytics tools that enable better healthcare decisions, improving patient outcomes while decreasing costs. I do this by combining expertise in real-world data, quantitative methods, and the psychology of decision making.
I have worked with amazing people
"Nathaniel brings technical expertise, reliability, and strategic communication that makes him an exceptional partner on complex real-world evidence projects."
Melyssa Minto, PhD
Computational Biologist, Flatiron Health
"Nathaniel is thoughtful, rigorous, and receptive to different perspectives — I would absolutely recommend him as a strategic collaborator."
Dr. Jacob Kannarkat
Physician, Yale University School of Medicine, Talkiatry
"Nathaniel brings a rare combination of deep thinking, genuine work ethic, and a passion for helping teammates grow."
Veronica Pessino, PhD
President, MBF Bioscience
My work, by the numbers
250M+
Patient records analyzed across EHR, claims, and survey data
500+
Students and professionals trained in data science and decision-making
10+
Organizations supported, from Big Pharma to early-stage startups
8+
Disease areas spanning oncology, neurology, and psychiatry
5+
Peer-reviewed publications in decision science, psychology, and health outcomes
5+
International conferences presented at, including INFORMS, Judgment and Decision Making, and rstudio::conf
My open-source clinical decision making tools have been used across multiple disease areas
Peer-reviewed clinical research that used my open-source software to build interpretable decision tools for real patients. See the full list on Google Scholar.
PLOS ONE · 2019
Age at diagnosis, but not HPV type, is strongly associated with clinical course in recurrent respiratory papillomatosis
Buchinsky et al.
Read paperInternational Journal of Radiation Oncology · 2020
Correlating dose variables with local tumor control in stereotactic body radiation therapy for early-stage non-small cell lung cancer
Klement et al.
Read paperResuscitation · 2022
Early risk stratification for progression to death by neurological criteria following out-of-hospital cardiac arrest
Coppler et al.
Read paperMy work follows a single thread: reduce overwhelming data complexity to its essential signal.
See the projects