Our team's vision is to deliver more accurate diagnoses to billions of people, at a fraction of the current cost

Founder's Story   |   Jeremy Howard

Medical diagnostics is, at its heart, a data problem - turning images, lab tests, patient histories, and so forth into medical insights. Recent deep learning breakthroughs have shown that computers can rapidly turn large amounts of data of this kind into deep insights, and find subtle patterns. This is the biggest opportunity for positive impact using data that I've seen in my 20+ years in the field.


Jeremy Howard is a serial entrepreneur, business strategist, developer, and educator. He is the youngest faculty member at Singularity University, where he teaches data science, and is also a Young Global Leader with the World Economic Forum. Previously he was the President and Chief Scientist of Kaggle, a community and competition platform for over 150,000 data scientists. Before working at Kaggle, he was the top ranked participant in data science competitions globally, in 2010 and 2011. He is also a keen student, for example developing a new system for learning Chinese, which he used to develop usable Chinese language skills in just one year.

Our Vision

Clinical Vision

"Scale my sub-specialist expertise so that all patients, everywhere, can benefit."

Dr Igor Barani CEO

Commercial Vision

"Drive a breakthrough reduction in the cost of world-class diagnostics while dramatically improving patient results, delivery speed and access. "

Steve Lefar Board Member and Advisor

Technical Vision

"Leverage deep learning to integrate all forms of medical data — genomics, radiology, pathology — enabling 10x more accurate diagnoses. "

Nate Sauder Chief Scientist

Global Vision

"Bring world-class diagnostics to billions of people globally who lack healthcare access."

Lina Nilsson COO

Our Team

Igor Barani, MD

Igor Barani is a physician, educator, and entrepreneur. Prior to joining Enlitic, Igor was an Associate Professor at the University of California, San Francisco (UCSF) in the Departments of Radiation Oncology and Neurological Surgery. At UCSF, Igor was the Vice Chair of Clinical Research in the Radiation Oncology Department and he has authored over 75 peer-reviewed publications. Among many other awards, Igor has been recognized for his pioneering work with a Howard Hughes Medical Institute Fellowship at the National Institutes of Health (NIH). He is a board examiner for the American Board of Radiology (ABR), and serves with distinction on various international and national neurosurgical and radiation oncology committees. Igor has also led the development of a novel intra-operative assessment tool that received FDA approval and has been commercialized. Igor is an avid cyclist, skier, and snowboarder and spends his free time enjoying outdoor activities with his wife and friends.

Nate Sauder
Chief Scientist

Nate Sauder is a data scientist with a background in machine learning and math. He finished high school at 13 and has studied math at the University of Toronto, University of British Columbia, University of Chicago and Oxford University. While a research associate at the Toyota Technological Institute, he researched methods of enforcing symmetry in deep learning architectures and conducted an empirical study of different pooling regimes in convolutional neural nets. Nate has also developed algorithms to successfully classify neighborhoods of New York by socioeconomic status using only Google Street View images. Before attending college, Nate developed data products for an environmental consulting company allowing organizations to quickly and accurately determine their carbon footprint. He has also written some expository articles in algebraic number theory and believes that machine learning algorithms can inform new modes of human learning.

Lina Nilsson, PhD

Lina Nilsson is a biomedical engineer with experience in early stage technology development. Most recently, Lina was at the University of California, Berkeley, where she helped design and implement a $25M initiative to more efficiently spin out new technologies from the University. As the Innovation Director at one of UC Berkeley's largest interdisciplinary centers, Lina curated and supported a portfolio of over 90 technology projects in medicine, infrastructure, and communications, across 40 countries. Before this, Lina worked on CellScope, a novel cellphone-based technology for automated diagnosis of global diseases like tuberculosis. Lina has been recognized on MIT Technology Review's "TR35" annual list of the world's top 35 innovators under the age of 35, and her writings have been published in the New York Times, Washington Post, Science, and Make Magazine. Lina holds a doctorate from ETH Zurich. As a volunteer guide, Lina leads wilderness backpacking trips in Alaska for the Sierra Club.

Chris Ng
DevOps Lead

Chris Ng is an avid DevOps and Continuous Delivery practitioner. He brings over 15 years of experience in technical operations in a variety of business vertical ranging from e-commerce to financial services. Before joining Enlitic, he was the VP of Technical Operations and Security at HouseCanary where he established a security, infrastructure automation, and QA practices.

Brian Basham
Senior Data Scientist

Brian Basham is a data scientist and software engineer, with a background in machine learning, search and natural language processing. At MIT, he developed and implemented a novel data structure for finding spelling correction candidates optimized for query time and memory usage. At Discovery Engine (acquired by Twitter) he applied machine learning to spam detection, spelling correction, and search relevance. Brian has a deep interest in mathematical problem solving, teaching classes in number theory and combinatorics to some of the nation's top high school mathematics students at the AwesomeMath summer program. In his free time, Brian enjoys playing board games and performing improvisational comedy.

Diogo Moitinho de Almeida
Senior Data Scientist

Diogo Moitinho de Almeida is a data scientist, software engineer, and hacker. He has previously been a medalist at the International Math Olympiad ending a 13-year losing streak for the Philippines, received the top prize in the Interdisciplinary Contest in Modeling achieving the highest distinction of any team from the Western Hemisphere, and won a Kaggle competition setting a new state-of-the-art for black box identification of causality and getting the opportunity to speak at the Conference on Neural Information Processing Systems. As a lifelong learner and big fan of online education, he has taken more classes online than he has getting his undergraduate degree at the Rensselaer Polytechnic Institute. He loves all things software and enjoys contributing to open source, giving talks on things that he's built, and improving his Emacs setup.

Li Yao
Data Scientist

Li Yao was born and raised in China and educated in Finland and Canada. He is currently finishing his PhD under the supervision of Prof. Yoshua Bengio in Montreal Institute of Learning Algorithms (MILA), Canada. His research work spans major areas of computer vision and language understanding. He obtained the second place in Large Scale Movie Description Challenge in ICCV 2015. His most cited work includes Generative Stochastic Networks for unsupervised learning and sequence-to-sequence models for video and image captioning (a fancy phrase for 'making stories out of pictures and video clips'). In searching for the magic sauce of computation for artificial intelligence, he entrusts algorithms and technology to heal the human body and liberal arts to heal the soul.

Scott Mayer McKinney
Data Scientist

Scott Mayer McKinney is a statistician driven to advance medical intelligence. Scott studied neurobiology and mathematics at Harvard and went on to conduct research at Massachusetts General Hospital, where he published papers on biomedical signal processing and the neural correlates of sleep. Supported by a fellowship from the Department of Defense, Scott moved west to begin graduate study in computational and mathematical engineering at Stanford. But the tech industry quickly seduced him; after an internship at Facebook, Scott left his PhD program to become a quantitative analyst at Google. Beyond data science, Scott is an accomplished jazz trumpeter and an unaccomplished standup comedian.

Alan Liu, MD
Data Scientist

Alan Liu is an MD-EE interested in the application of machine intelligence to medicine. He comes to Enlitic with an engineering leadership background in production enterprise systems and modern mobile and web development. He was a member of the original open source team that developed the ICU internationalization library used by Apple, Google, IBM, and Oracle (it's in your computer, your phone, and your refrigerator). At NetSuite, he held engineering management and platform architect roles, helping to bring forward-looking software development practices to the NetSuite enterprise platform. At the mobile startup Heighten, he developed responsive mobile apps and their accompanying back end service architecture in tandem. He holds a degree in electrical engineering from Stanford and an MD from UCSD.

Benjamin Goldenberg
Data Scientist

Benjamin Goldenberg is a software engineer and data scientist. Prior to Enlitic, he led and managed search quality teams at Yelp that worked on result ranking, query understanding, and NLP product features. He developed and contributed to core data and machine learning infrastructure used by these teams. He graduated with a B.S. in Mathematics from Harvey Mudd College but kept finding himself in Computer Science classes. Most weekends, you can find him on a bicycle exploring new roads far from home.

Kevin Lyman
Forward Deployed Engineer

Kevin Lyman is an engineer and entrepreneur. While studying at RPI, Kevin changed majors eight times, eventually graduating with a BS in Computer Science. His degree was further delayed by the nearly two years he took off to travel the country working at various companies. His first job was at Hasbro, where he designed and rapidly prototyped novel high-tech concept toys like EEG-controlled Nerf guns. From there, Kevin went to SpaceX, where he developed sensors and control circuits for the Falcon 9 rocket and Dragon space capsule, as well as early simulation models for the Grasshopper landing system. After that, he worked at Microsoft, where he designed new features for Excel and developed a real-time error monitoring system for Office Online. Kevin is also the founder of The Inventor's Guild, a team of roughly 30 students from five of the country's top universities, who earn course credit and money for consulting work with startups. Competitive at heart, Kevin is a former professional Halo 2 player and was once the world's highest ranking warlock in World of Warcraft. Since then, he has focused this energy elsewhere, winning over 50 awards from hackathons, business plan competitions, and pitch competitions. As Enlitic's first forward deployed engineer, Kevin is excited to personally help implement Enlitic technology all across the world.

Devon Bernard
Forward Deployed Engineer

Devon Bernard is a software engineer, scientist, and polymath aspiring to improve the collective human experience. At 13, he became a full-stack web contractor, constantly exposing him to a variety of different technologies. While earning a B.S. in Computer Science from RPI, Devon interned at Microsoft and Google simultaneously, ranked highly in numerous coding & business competitions, won the New Hampshire Startup Challenge, and was selected as a Summit Dublin Scholar for his entrepreneurship ventures. Devon sees life as an experiment, always seeking new questions, in the pursuit of becoming a Jedi Master. He joined Enlitic to increase the quality and availability of healthcare for everyone.

Ben Covington Jr., MD

Ben Covington is a physician, with broad interests in technology, music and art. With an early interest in the sciences, Ben was accepted into a foundational program that exposed him to the fields of computer science and philosophy at UC Berkeley. Later as a Yale undergraduate, Ben took courses in the biological sciences. An early medical experience revealed the evolving and dynamic field of diagnostic radiology, which he later pursued as a career. After completing Tufts Medical school, Ben trained and worked as a diagnostic radiologist for the next 25 years. Ben holds special interest and expertise in CT and MR imaging of neuro, thoracic, abdominal and musculoskeletal systems. Throughout his career, Ben has witnessed and welcomed the advent of technology in radiology, especially as big data intersects with imaging for patient care efficiency. This appreciation, combined with an awareness of the challenges in the field, led Ben to explore possible technological solutions, eventually leading to a position with Enlitic. Ben brings a passion to leverage his experiences as a radiologist to help improve patient outcomes, while also helping address the needs of radiologists in this demanding field. Ben's outside interests include digital music composition with varied sound generating technologies, as well as glass fusion art, using CAD to design copper inlays, creating modernistic art. An avid Ducati motorcyclist, Ben enjoys the Zen of two wheeled self-expression.

Steve Lefar
Board Member and Advisor

Steve Lefar was the CEO of Sg2, a leading provider of healthcare intelligence and analytics, from 2011 until its $142M sale to MedAssets (Nasdaq: MDAS) in 2015. Steve had responsibility for all facets of the company's strategy, technology and operations. Steve worked directly with CEOs and leadership teams of Sg2's top healthcare clients, was a frequent speaker at Sg2 and industry events on trends in the industry and oversaw new analytics and product development. Over 1,200 organizations around the world rely on Sg2's analytics, intelligence, consulting and educational services. Before Sg2, Steve was a co-founder and president of MediRegs, the industry's leading provider of compliance content and software as a service workflow tools. After five years with MediRegs, Steve led the sale of the company to Wolters Kluwer in 2007 and managed the unit until 2011. Steve earned a BA in economics from the University of Michigan. In his spare time, he enjoys skiing, hiking, tennis, yoga and wine collecting.

Anthony Upton, MD
Radiology Advisor

Dr. Anthony Upton is a radiologist who has long championed the adoption of new technology to help medical professionals. As the Medical Director and Staff Radiologist with Capital Radiology Vermont, the large multi-radiologist private practice in Melbourne, Australia, Anthony has always worked toward ensuring the staff remains focused on "best in class" patient outcomes, with a multidisciplinary approach to patient diagnostics and treatment. Anthony is also the Director of the Capital Radiology Medical Advisory Committee. Anthony graduated from Monash University in 1996 and completed the first part of the DRANZCR (Diploma of The Royal Australian and New Zealand College of Radiologists) examination in October 2000, when he was awarded the C.E. Eddy Prize for top candidate. After completing his studies in radiology, he participated in advanced training in oncology and body imaging at the Peter MacCallum Cancer Institute. He is also an accredited tutor in Cardiac Imaging. In his spare time, Anthony enjoys spending time with his family, on his photography and in travelling and hiking in the American wilderness.

Our Investors

Enlitic's Premier Partner Program helps select medical institutions adopt data-driven medicine to improve patient outcomes.
In collaboration with Enlitic's deep learning experts, Premier Partners will lead the way in ushering in a new era of truly personalized patient care.

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