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 healthcare organizations ranging from health technology start-ups to big pharma.

My open-source clinical decision making tools have been 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 paper

International 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 paper

Resuscitation · 2022

Early risk stratification for progression to death by neurological criteria following out-of-hospital cardiac arrest

Coppler et al.

Read paper

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

Melyssa Minto, PhD

Computational Biologist, Flatiron Health

Flatiron Health

"Nathaniel is thoughtful, rigorous, and receptive to different perspectives — I would absolutely recommend him as a strategic collaborator."

Dr. Jacob Kannarkat

Dr. Jacob Kannarkat

Physician, Yale University School of Medicine, Talkiatry

Talkiatry

"Nathaniel brings a rare combination of deep thinking, genuine work ethic, and a passion for helping teammates grow."

Veronica Pessino

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

I'd be happy to hear from you

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