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

My open-source clinical decision making tools are used by researchers 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.

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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.

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Resuscitation · 2022

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

Coppler et al.

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I work with business leaders, clinicians, and scientists

"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

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

I am always open to solving new problems at the intersection of data, decision making and healthcare

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