Machine Learning Healthcare: EMR analysis, R&D ROI, HIPAA chatbots [Free Event]

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Healthcare is a field of incredible challenges and life changing opportunities and machine learning can help many facets.

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THREE excellent speakers from Flatiron Health, Pfizer, and Talkspace on:

* Machine learning techniques to reduce bias in Electron Medical Records (EMR) analysis
* ML improving ROI for drug R&D and even design of new drugs
* Psychotherapy techniques leveraging a HIPAA-BAA compliant chatbot in the cloud


6:00 PM Networking & Food, Beer
6:30 PM Kickoff & Sponsors
6:40 PM Lucy He, Flatiron Health
7:15 PM Michael Frank, Pfizer
7:40 PM Nick Lamm, Talkspace
8:00 PM Q&A and Open Discussion


1) When machine learning (ML) techniques are applied to electronic medical records (EMRs) for research, studies can be larger or done faster than non-automated studies on EMR data. However, using ML may add clinical bias into the data extracted from EMRs. We will present how to limit and measure such bias, which enables ML to be used in high-stakes research areas like cancer.

2) Across the value chain of drug discovery, AI/ML is being tested as a way to improve the return on R&D investment and bring drugs to patients faster. In this talk we will explore our experience and the challenges faced with applying ML across the phases of drug development. We will look at how it can be used as a decision support tool, and lastly how generative methods are affecting creative fields including the art of designing a drug.

3) Psychotherapy, as a primarily conversation-based method to treat mental illness, is a tempting arena for conversational AI. At Talkspace, the leading online therapy platform, we are interested in how traditional psychotherapy techniques translate to a digital medium. We will discuss how we designed a HIPAA-BAA compliant chatbot that takes cues from psychotherapy, and how these principles might be applied to other contexts.

Speaker Bios:

1) Currently a software engineer at Flatiron Health, Lucy He is on a team applying machine learning in oncology to ultimately improve patient care and accelerate cancer research. The team helps build machine learning infrastructure for the company, and data products for research partners. Prior to Flatiron, Lucy was at Jigsaw, Alphabet’s’ geopolitical think tank & tech incubator, and at Google for Nonprofits.

Lucy received a B.A. in computer science from Columbia University, though spent her first year in college studying biology.

2) Michael is a Director of Strategy in Pfizer’s World Wide R&D organization. His group’s mission is to advance strategy and innovation in pharmaceutical development across all therapeutic areas. His current focus is expanding the role of Artificial Intelligence in drug discovery to increase productivity and identify new therapies to help patients.

Prior to Pfizer, Michael was a Strategy Consultant at Strategy& (a PWC company) and PA Consulting. He was also VP of technology at Phosplatin Therapeutics, a NYC biotech startup.

His own inventions include a kitchen gadget for SkyMall, a dual language eReader platform, and several medical diagnostics and products. He has an MBA from Columbia Business School, and MS in Biomedical Engineering from Boston Univ., and a BA in Biology from Univ. of Michigan.

3) Nick Lamm is a Data Scientist at Talkspace. As a former marketer, Nick is interested in the intersection between machine learning and user-facing products. He is a strong supporter of Talkspace’s mission to increase access to mental healthcare.


IBM and Betaworks Studios.

*** Please sign up on Eventbrite to RSVP.