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.
My open-source clinical decision making tools are used by scientists and clinicians around the world
See respiratory, oncology, and heart disease applications below. 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 paperI work with amazing people to solve hard problems
"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
I am proud of my impact
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 work follows a single thread: reduce overwhelming data complexity to its essential signal.
See the projects