Who We Are

Built by Surgeons, Engineers, and Translational Scientists

We were founded at the intersection of:

neurosurgery

optical engineering

artificial intelligence

translational cancer research

 

We are a team that understands:

the realities of surgery

the limitations of existing tools

the urgency of improving patient outcomes

 

 

Our work is driven by a single belief:

Surgeons should never have to guess where the tumor ends

Our Mission

Making Invisible Tumors Visible

Cancer surgery still depends on what the surgeon can see — and too often, the most dangerous disease is the part that remains invisible.

Despite remarkable advances in imaging, navigation, and surgical technique, tumors routinely extend beyond what MRI, fluorescence, or the naked eye can reveal. These unseen margins are where recurrence begins, where outcomes are decided, and where today’s tools fall short.

 

                                      exists to change that.

Our mission is to make invisible tumors visible by translating the hidden optical signatures of tissue into real-time surgical intelligence. We are building a new class of technology that allows surgeons to see biology itself — not days before surgery, not after pathology returns, but in the moment when decisions matter most.

WHO WE ARE

A New Standard for Surgical Oncology

We envision a future where:

  • no tumor is invisible

  • no margin is guessed

  • no patient’s outcome is limited by what couldn’t be seen

 

                             

                                 is building the foundation for precision surgery driven by optical intelligence — starting in the brain, expanding across oncology.

WHO WE ARE

Designed by Surgeons & Engineers,

Powered by Optics and AI 

                                 brings together clinical insight, deep-tech engineering, and translational execution to create a new category in surgical oncology.

Co-Founder

A brain tumor neurosurgeon and innovative engineer with a career building novel optical tools for surgery

Assistant Professor of Neurosurgery and Neurobiology

Director of Neurosurgical Oncology and Brain Tumor Program

Jennie Sealy Distinguished Endowed Chair in Neuroscience

Department of Neurosurgery

University Texas Medical Branch

Affiliate Faculty

Department of Electrical and Computer Engineering

Rice University

 

Harvard-Trained Neurosurgeon (Harvard Medical School, 2021)

Neurosurgical Oncology-Trained (University of Montpellier, Prof. Duffau, 2022)

MIT Research Scientist (MIT, 2019)

MD/PhD in Engineering (Dartmouth College Medical School and Thayer School of Engineering, 2014)

 

 

Pablo Valdes, MD/PhD

Co-Founder

A robotics and optical engineer dedicated to building optical tools that change lives

 

 

Research Scientist & Lead Optical Engineer

LENS Collaborative

University Texas Medical Branch

Department of Neurosurgery

Department of Electrical and Computer Engineering

Rice University

 

Robotics Engineering PhD (Carnegie Mellon University, 2022)

Alankar Kotwal, PhD

Co-Founder

A neurosurgeon-scientist translating technologies from the lab into real world solutions

 

CMO & Co-founder, Centile Bio and Upfront Diagnostics

 

Harvard Neurosurgery training (Harvard Medical School, 2026)

MIT Research Scientist (MIT, 2024)

PhD  (Cambridge University, 2015)

Joshua Bernstock, MD/PhD

Co-Founder

A world leader in computational imaging and novel imaging tools making digital health a reality

 

Professor & Chair

Department of Electrical and Computer Engineering & Computer Science

Rice University

Co-founder, Synoptic

 

Electrical and Computer Engineering PhD (University of Maryland, 2008)

Ashok Veeraraghavan, PhD

Our Values

Precision, integrity, and patient-first innovation guide everything we build—ensuring that every advance we make is grounded in evidence, designed for real surgical environments, and focused on meaningful clinical impact.

SURGICAL IMAGING TECHNOLOGIES

Oncolight is pioneering real-time optical fingerprinting to detect tumor tissue that is invisible to the human eye and conventional imaging — starting in the brain, with a platform designed to scale across oncology.

Making the invisible visible