MBC BioLabs: Lunch Seminar with UCSF - Proof of Concept and Growth: Using Data to Raise Capital and Beyond

Lunch Seminar with UCSF - Proof of Concept and Growth: Using Data to Raise Capital and Beyond

Date: Wednesday, May 15, 2019

Time: 12:00-1:00pm

Place: 953 Indiana Street, San Francisco

Lunch Served

About the Seminar:

It's clear that to start a biotech company, access to capital is a key requirement. In this lunchtime seminar we plan to show that data can be the key requirement to accessing capital. We will show that your well-designed proof of concept experiments can open the door to financing but beyond the proof of concept, identifying a clear path to sustained growth can seal a deal. Using examples from early stage companies we have worked on together and separately, we’ll cover some concrete statistical, visualization, and algorithmic principles to use as you build your company.

Meet the Speakers:

About Isabel Elaine Allen

Isabel Elaine Allen is Professor of Biostatistics and Epidemiology at UCSF, Mentor in Quantitative Biosciences and the Catalyst program at UCSF, and a consultant for CTSI at UCSF where she was Consultant of the Year for 2015-2016. Dr. Allen is also Emeritus Professor of Statistics and Entrepreneurship at Babson College. She founded and led several biotechnology companies, serves on the board and advises several non-profit organizations and analytic & biotechnology companies, and is also an angel investor. She is Co-Director of the Babson Survey Research Group and has received multiple research grants to design and conduct surveys on online education and entrepreneurship worldwide. She is a Fellow of the American Statistical Association. She has published widely on statistical issues in meta-analysis, analytics, survey research, data visualization, proof of concept and clinical research methodology. She serves on several NIH panels on best practices in statistics and evidence-based research and consults for several biotechnology/pharmaceutical companies. She received her PhD from Cornell University.

About Christopher A. Seaman

He earned his master’s degree in mathematics and cryptography, and is ABD in mathematics, from the City University of New York. Prior to moving to San Francisco, Mr. Seaman taught statistics at John Jay College of Law in NYC and at Babson College in Wellesley, MA. He also consulted on data management and statistics for several biotechnology companies. Mr. Seaman was a research fellow at eBay prior to joining Atlassian where he was lead data scientist and was previously the lead on growth monetization for Drobox. He lead each of these groups through their company’s IPO’s creating plans for each company's future growth and monetization.