Get the appBook a demo

About us

At January, our values are in our name

The Ancient Romans imagined Janus, the guardian of time, as a two-faced god, one facing backward and one facing forward. In his honor, the month of January became a time of symbolic renewal, a time to accept the past and plan for the future. Today, we know these ancient January aspirations as New Year’s resolutions.

At January, we believe that every day is a fresh start, that getting healthy is a team sport, and that small steps add up to big change. By combining artificial intelligence with rigorous science, we aim to provide deeply personalized health insights and recommendations to unlock the best you.


Clinical Rigor

Our models are trained on deep, multi-omic data and validated by leading metabolic researchers.

Personalized AI

A digital twin of your unique biology, predicting how your body responds to every meal and moment.

Proactive Care

Moving medicine from reactive treatment to proactive metabolic optimization.

01Our team

Our Team

January AI is a pioneer in precision health, combining world-class science with cutting-edge artificial intelligence to help people live longer, healthier lives. Built by leaders from Stanford, Silicon Valley, and beyond, our award-winning technology turns complex biology into simple, personalized insights, empowering everyone to take control of their health, one decision at a time.

Michael Snyder, PhD

Michael Snyder, PhD

Co-Founder

Chair of Genetics and Director of Genomics and Personalized Medicine, Stanford School of Medicine. Pioneer in the comprehensive digitization of human biofluids

Noosheen Hashemi

Noosheen Hashemi

Co-Founder & CEO

Entrepreneur, Investor, and Philanthropist committed to bringing about a paradigm shift in how people think about their health

Umer Mansoor

Umer Mansoor

CTO & Head of AI

Leading January's AI strategy and execution to build world-class, scalable, secure, and ethically responsible AI solutions.

Mark Woodward, PhD

Mark Woodward, PhD

Chief Science Officer

Leading all machine learning efforts, including predicting an individual’s biological response to food, knowing an individual’s dietary and activity preferences, and enabling delightful application interactions

Armin Ebrahimi

Armin Ebrahimi

Chief Financial Officer

Provides technical expertise and is responsible for company financials

02Advisory

Scientific Advisory Board

World-class scientists in nutrition, endocrinology, microbiome, and machine learning who review our methodology and hold us to the evidence.

Jeffrey B. Blumberg, PhD

Professor Emeritus, Friedman School of Nutrition Science

Tracey McLaughlin, MD, MS

Professor of Medicine, Stanford School of Medicine, Endocrinology, Gerontology & Metabolism

Dariush Mozaffarian, MD, PhD

Dean, Tufts Friedman School of Nutrition Science and Policy

Eric Martens, PhD

Associate Professor, University of Michigan Medical School, Microbiology & Immunology

Justin Sonnenburg, PhD

Associate Professor of Microbiology & Immunology, Stanford University

Parag Mallick, PhD

Founder, Nautilus Biotechnology; Associate Professor, Stanford University

Nima Aghaeepour, PhD

Professor, Stanford School of Medicine; Founder, Takeoff AI

Dalia Perelman, CDE

Research Dietitian, Stanford University

AI Advisory Board

Leading researchers in machine learning and robotics who advise on our modeling approach and AI systems.

Pieter Abbeel, PhD

Director, Berkeley Robot Learning Lab; Co-Director, Berkeley Artificial Intelligence Research

Jure Leskovec, PhD

Associate Professor of Computer Science, Stanford University

Sergey Levine, PhD

Assistant Professor, Electrical Engineering and Computer Sciences, UC Berkeley

Zico Kolter, PhD

Assistant Professor, Carnegie Mellon University

03Careers

Careers at January

We are looking for intelligent and passionate people with an insatiable curiosity to join our mission of delivering better health every day.

January is an equal opportunity employer. We are a diverse team and are committed to creating an inclusive environment for all employees.

See Open Roles