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Informatics Curriculum







1:00 PM

How I built this: radiology edition

Woojin Kim, MD

Co-founder, Montage Healthcare and Equium. Former CMIO, Nuance

1:30 PM

Post-implementation surveillance and monitoring of AI


7:30 AM

Top of mind for the clinical IT director: Data Storage, Budget, Legacy Applications

Matt Zawalich

Executive Director of Clinical IT, YNHH

8:00 AM

Data standards and data interoperability: DICOM, HL7, FHIR, IHE

Mohannad Hussain

Principal consultant, Technie Maestro


7:30 AM

Introduction to neural networks in Radiology

NIcha Dvorek, Ph.D.

Assistant Professor, Yale

8:00 AM

Neural networks: pitfalls

John Onofrey, Ph.D.

Assistant Professor, Yale


7:30 AM

Best practices for data sharing and data governance in the age of big data

Jennifer Miller, Ph.D.

Associate Professor, Yale

8:00 AM

Evaluating Artificial Intelligence Devices For Radiology at the FDA.

Brandon Gallas, Ph.D.

Mathematician, Imaging Physicist, FDA


7:30 AM

Latest state of NLP: Language Models, Transformers, and beyond

Arman Cohan, Ph.D.

Assistant Professor Computer Science, Yale

8:00 AM

NLP: Practical Applications for Radiology, with demo


7:30 AM

Understanding and building products for healthcare enterprise needs

Tom Cassels

President and General Manager, Rock Health

8:00 AM

Investing in digital health products: perspective and approach from late stage investor

Justin Larkin, MD

Partner, Andreesen Horowitz


7:30 AM

Approach to intellectual property for Digital Health

Craig Kenesky, JD

Associate, Patents and Innovations, Wilson Sonsini

8:00 AM

Presenter Bios:

Woojin Kim, MD is a diagnostic radiologist with fellowship training in musculoskeletal radiology and imaging informatics.

  • Entrepreneur. CMO and Co-founder of Equium Intelligence, which provides capacity analytics and demand forecasting for radiology using machine learning. Co-founder of Montage Healthcare Solutions (acquired by Nuance Communications in 2016). mPower Clinical Analytics (formerly MONTAGE Search and Analytics) allows enterprise search and data mining within healthcare systems for clinical decision support, research, business intelligence & business analytics, and clinical quality analytics.
  • Formerly a CMIO at Nuance Communications.
  • Imaging informaticist with a focus on healthcare search, data mining, business intelligence and analytics, clinical quality analytics, blockchain, and machine learning/deep learning.
  • An international speaker with over 200 abstracts, presentations, and talks to date.
  • Creator of Yottalook, a radiology-centric search engine as a part of iVirtuoso, Inc, which was acquired by Montage Healthcare Solutions.

Matthew Zawalich is an executive director in the Information Technology Services division of Yale New Haven Health System. Matthew began his career in 2002 as an IT analyst in the YNHH Radiology department. Over the past 18 years, he has grown into his current leadership role with responsibilities that span enterprise imaging, radiation oncology, neurosciences, and, more recently, telehealth and digital patient engagement. Matthew also holds an appointment within the Dept. of Yale Radiology and Biomedical Imaging as an Associate Lecturer. Matthew earned his Bachelor’s in chemical engineering and Master’s in biomedical engineering, both at the University of Connecticut.

Mohannad Hussain is an independent consultant in Medical Imaging. He serves multiple roles, among which is the technical project manager of the SIIM Hackathon as well as RSNA Imaging AI in Practice Demonstration. A software developer by training, he stumbled into medical imaging informatics more than a decade ago and found his purpose there, never losing sight of the important role our industry can play in improving patient care. Mohannad is a keen advocate for interoperability in healthcare and a staunch supporter of open-source software.

Nicha Dvornek, PhD , is an assistant professor of Radiology & Biomedical Imaging & Biomedical Engineering. Her interest is on the development and application of machine learning algorithms for medical image analysis and processing. Dr. Dvornek’s current work focuses on deep learning methods for learning from functional magnetic resonance imaging data with application to autism spectrum disorders. She is driven by the ultimate goal of better understanding neurological disorders and diseases to achieve more personalized medicine.

John Onofrey, PhD , is an assistant professor of Radiology & Biomedical Imaging, Urology, and Biomedical Engineering. His research focuses on the development of novel image analysis algorithms using machine learning, including deep learning methods, and he has a particular interest in image registration and motion correction. Prior to graduate school, he worked as a software developer for the U.S. Army Research Laboratory and Lockheed Martin. His doctoral research focused on leveraging large amounts of clinical data to build effective statistical models of both brain shape and brain deformation for image-guided neurosurgery. As a postdoctoral researcher, Dr. Onofrey applied machine learning towards interventional image-guided biopsy of prostate cancer. Currently, Dr. Onofrey has several NIH grants to develop and apply novel state-of-the-art deep learning techniques to PET image head motion correction and to perform automated radiological assessment of prostate cancer imaging.

Jennifer E. Miller, PhD , is an assistant professor in Yale School of Medicine and Director of the Good Pharma Scorecard initiative, an index that ranks new drugs and pharmaceutical companies on their ethics and patient-centricity performance. Dr. Miller's research explores the ethics of healthcare innovation, particularly how drugs are researched, developed, marketed, priced and made accessible to patients domestically and globally. She also works on the ethics of big data in healthcare, including informed consent, data-sharing, and ownership concerns. Dr. Miller founded the nonprofit Bioethics International and is a member of The World Economic Forum, participating on their Futures Council, Biotechnology Council, and Personalized Medicine Council. Prior to joining Yale’s faculty, she was based at NYU School of Medicine, Duke University, and Harvard University. Her training is in physics, bioethics, business ethics, and regulatory governance.

Brandon D. Gallas provides mathematical, statistical, and modeling expertise to the evaluation of medical imaging devices at the FDA. His main areas of research are image quality, computer-aided diagnosis, imaging physics, and the design, execution, and statistical analysis of reader studies Recently, he has been investigating pathologist performance and agreement using whole slide imaging devices and the microscope. Dr. Gallas also participates in the Pathology Innovation Collaborative Community, a regulatory science initiative to harmonize and standardize digital pathology processes to speed up innovation to patients.

Arman Cohan is an Assistant Professor of Computer Science at Yale University. His research spans various problems at the intersection of Natural Language Processing and Machine Learning, including Language Modeling, Representation Learning, Generation, and their applications to specialized domains including health. His research has been recognized with multiple awards, including a best paper award at EMNLP, an honorable mention at COLING, and the 2019 Harold N. Glassman Distinguished Doctoral Dissertation award. He received his Ph.D. in Computer Science from Georgetown University. Prior to joining Yale, he was a Research Scientist at the Allen Institute for AI (AI2) and an Affiliate Assistant Professor at University of Washington.

Tom Cassels is Rock Health’s President and General Manager of Rock Health’s Advisory business. Prior to joining Rock Health, Tom led strategy and business development for careC2, a new business line within the Health Group at Leidos Holdings Inc. At careC2 Tom worked with health systems, health insurance companies, and new retail entrants to remove friction associated with providing and receiving health-related services by leveraging a platform to integrate various digital systems across their operations. His past work includes 15+ years with the Advisory Board where he led the flagship Health Care Advisory Board research membership before launching and leading the firm’s Strategy Consulting practice, before and during its integration into Optum. Tom received a B.A. in Psychology and English Literature from Georgetown University and a Master’s in Public Policy from the McCourt School of Public Policy at Georgetown University.

Justin Larkin, MD, is a partner on the Bio investing team, focusing primarily on health technology companies that are transforming the way patients, payors, and providers experience and deliver healthcare.

Prior to joining a16z, Justin led the Strategy and Ops org at Verily (formerly known as Google Life Sciences), working across their portfolio of care delivery, software analytics, and med device business lines. Prior to that, Justin was a co-founder and the product / clinical lead at Wellsheet, a venture-backed health IT company focused on using ML to streamline physician workflows within electronic health records.

Justin holds an MD from the University of Pennsylvania where he was a John Morgan Scholar and a founding member of PennHealthX, an endowed program for cross-disciplinary training in clinical medicine and health technology / entrepreneurship. Justin also holds an MBA from the Stanford Graduate School of Business, as well as a BS / BA from BYU in Developmental Biology and Portuguese, respectively.

Dr. Craig Kenesky is an associate in the New York office of Wilson Sonsini Goodrich & Rosati. Craig applies his background in synthetic organic, medicinal, peptide, bioorganic, and computational chemistry to the prosecution of domestic and foreign patent applications, as well as due diligence, freedom to operate, portfolio development strategy, opinions, and IP counseling. Craig represents clients in numerous technology-focused industries, including the chemical, pharmaceutical, biotechnology, nanotechnology, diagnostic, neutriceutical, healthcare, process and manufacturing, energy, clean technology, biofuel, genomics, software, information technology, bioinformatics, scientific instrument, personalized medicine, and medical device sectors. He performs pre-transaction due diligence on behalf of both technology companies and venture capital groups, and he develops non-infringement and invalidity strategies for generic pharmaceutical companies.

Craig teaches a class at Weill Cornell Medical College. The class covers the business strategies and decisions involved in the founding and early-stage management of a fundable and successful biotech start-up.

Craig's doctoral research at the University of Pennsylvania focused on the total synthesis of architecturally complex anti-cancer natural products, inhibitors of HIV-1 protease, carbohydrate drugs, peptide-like biomaterials, and the computational and biochemical investigation of tubulin-drug interactions leading to cancer cell death. He also held a fellowship at Columbia University, where he developed artificial enzymes and synthetic organic nanowires.