Skip to main content Skip to secondary navigation
Main content start

AIMI AI Happy Hour Episode 9: Investment Considerations for Clinical AI

Event Details:

Friday, January 29, 2021
2:00pm - 3:00pm PST

AIMI YouTube Channel
Open to all

Link to join or set a reminder: http://bit.ly/AI-HH-9

Hear perspectives from a diverse expert panel of AI clinicians, researchers, computer scientists, and industry leaders:

  • Sharon Zhou - PhD Computer Science (ongoing/Stanford): CS PhD candidate at Stanford University, advised by Andrew Ng. Previously a machine learning product manager at Google and a few startups. She is a Harvard graduate in CS and Classics. She likes humans more than AI, though GANs occupy a special place in her heart.

  • Judy Gichoya, MD, MS (Emory): A multidisciplinary researcher, trained as both an informatician and a clinically active radiologist. She is an assistant professor at Emory University working on Interventional Radiology and Informatics. She has been funded through the Grand Challenges Canada and NSF ECCS. Her career focus is on validating machine learning models for health in real clinical settings, exploring explainability, fairness, and a specific focus on how algorithms fail. She has worked on the curation of datasets for the SIIM (Society for Imaging Informatics in Medicine) hackathon and ML committee. She volunteers on the ACR and RSNA machine learning committees to support the AI ecosystem to advance development and use of AI in medicine. She is currently working on the sociotechnical context for AI explainability for radiology, especially the dimensions of human factors that govern user perceptions and preferences of XAI systems.

  • Sarah Kerruish, Chief Strategy Officer (Kheiron Medical): As Chief Strategy Officer at Kheiron Medical, Sarah is privileged to be working with an incredibly talented deep learning team to give every woman a better fighting chance against breast cancer through earlier detection. Before moving back to London, Sarah lived in Silicon Valley for 15 years where she learned from some of the great inventors of our age. Other recent career highlights include collaborating with the Cancer Moonshot team at the White House and the National Cancer Institute on a common ontology for cancer mutations and co-founding a grassroots collaboration called Precision Medicine for Me to help patients navigate this new era of cancer medicine.

  • Curtis Langlotz, MD, PhD (Stanford): Professor of Radiology and Biomedical Informatics and Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center) at Stanford University. As a Medical Informatics Director for Stanford Health Care, he is also responsible for the computer technology that supports the Stanford Radiology practice. The AIMI Center develops artificial intelligence methods that enable computer systems to draw complex inferences from image information and associated clinical data to augment the skills of human imaging professionals. He currently serves on the Board of Directors of the RSNA as Liaison for Informatics.

  • Francisco Gimenez, Partner (8VC): Francisco is a Partner on the investment team at 8VC. He focuses on Bio-IT, Health-IT, and Enterprise AI investments. He previously was the Resident Data Scientist at Formation8 Partners where he worked with portfolio companies to strategize, prototype, and recruit for data products. He was the founder of Catenus Science, a data science consulting and recruiting firm that used an apprenticeship model to help early stage companies build data science teams. Francisco received his Ph.D. from Stanford in Biomedical Informatics, where he was a Ruth L. Kirchstein Fellow. His research focused on clinical decision support for Radiology which won him the Martin Epstein award for best paper at the American Medical Informatics Association in 2014. He was the commencement speaker for the Stanford School of Medicine in 2015. Prior to that he got his B.S. in Electrical Engineering and Computer Sciences from UC Berkeley while doing research in Parkinson’s disease at UCSF.

  • Emir Sandhu, Vice President (BlueCross BlueShield Venture Fund): Helps manage the Fund's investments in HeartFlow, Onc.AI, Perspectum, Thrive Earlier Detection, Octave Bioscience, and Somatus. Prior to BVF, Emir trained as a radiologist at Stanford University, where he continues to practice as Adjunct Clinical Faculty. He has consulted on medical innovation initiatives at Google and was a member of the founding team at OpenBiome. Emir earned an MD from Harvard Medical School, an MBA from Harvard Business School, and BA in Economics from The University of North Carolina as a Morehead-Cain Scholar.

  • Nina Kottler, MD, MS (Radiology Partners): Dr. Kottler has been a practicing radiologist specializing in emergency imaging for over 15 years. Combining her clinical experience with a graduate degree in applied mathematics, she has been using technological innovation to drive value in radiology. As the first radiologist to join Radiology Partners, Dr. Kottler has held multiple leadership positions within her practice and is currently the associate Chief Medical Officer for Clinical AI. Externally Dr. Kottler serves on multiple committees for the ACR, RSNA, and SIIM. Dr. Kottler is also passionate about promoting diversity and creating a culture of belonging. As such she is a member of the AAWR, is a member of the diversity and inclusion committee at SIIM, serves on the steering committee for RADxx, and leads the education and development division of the Belonging Committee within Radiology Partners.

  • Kevin Lalande, Founding Managing Director, CIO (Santé): Kevin is Founding Managing Director and Chief Investment Officer of Santé, a multi-strategy investment partnership with over $800 million in capital under management in two separate strategies. Santé Ventures is a healthcare and life science venture capital strategy founded in 2006 that manages over a half-billion dollars across three funds and 30+ portfolio companies. Over the last 15 years, the partners of Santé Ventures have helped create, build, and finance a valuable portfolio of innovative new healthcare companies including LDR Medical (Nasdaq: LDRH, later acquired by Zimmer Biomet), Explorys (IBM Corp), AbVitro (Bristol Myers Squibb), Molecular Templates (Nasdaq:MTEM), Millipede Medical (Boston Scientific), TVA Medical (Becton Dickinson), and Claret Medical (Boston Scientific). Santé Capital is a systematic machine learning hedge fund strategy that began trading capital in 2015 after three years of research and development. Kevin conceived the investment strategy, designed the original MindRank algorithms, and assembled an experienced team to help drive this line of business. Before Santé, Kevin spent seven years as an investment professional with Austin Ventures, a venture capital firm with $4 billion under management. Prior to Austin Ventures, he was a Management Consultant with McKinsey & Company. Before McKinsey, he founded, built and sold three internet-based companies in the 1990s. Kevin received a bachelor’s degree with honors in Electrical & Computer Engineering, an MBA with highest distinction from Harvard Business School, where he was both a Baker Scholar and a Siebel Scholar, and a graduate certificate in Artificial Intelligence from Stanford University.

This live panel discussion is part of the AI Happy Hour series, brought to you by Stanford AIMI and friends. We cover hot topics in AI in medicine as well as live questions & comments from attendees.

It's casual, insightful, and open to all!

Related Topics

Explore More Events