How to find (easier) funding: automating the grant writing process

​Felicia & Jennifer will share how startups and researchers can win more grants using AI in this talk. In this session, we will walk through (1) raising money from venture capital vs. federal grants, (2) how we’ve helped startups find and write federal grants with AI, and (3) what’s vital in grant applications. In this session, we will focus on SBIR/STTRs and how other MIT-affiliated startups have navigated the process of securing $2M+ grants. We will finish with an open discussion to learn how we can help you find grant funding and answer any questions you may have. Felicia and Jennifer (MIT B.S. ’13, M.Eng '15) are co-founders at GrantScout.

​About Felicia & Jennifer:

​Felicia Chen is CEO and co-founder of GrantScout. She has helped write and win three STTR grants for InstaJam, a TAK plugin for jamming detection in the radio frequency spectrum for the Air Force. Felicia was previously a co-founder at Cega and a software engineer at Anduril and Apple. She graduated from Duke University with a BS in Computer Science and economics.

Jennifer Jang is the CTO and co-founder of GrantScout. She was previously Tech Lead / Staff Machine Learning Software Engineer at Waymo, where she reduced stimulated cyclist collisions to unlock Waymo's San Francisco launch. Before that, Jennifer was a Data Scientist at Uber Eats. Jennifer has been an AI Researcher for the last decade, with first-author papers in leading journals, including Neurips, ICML, and CVPR. She graduated from MIT with an MS and BS in Computer Science & Mathematics. 

​Location: E40-160

​​Food will be provided

​Founders Handle:

​Felicias LinkedIn: https://www.linkedin.com/in/feliciachen0/

​Jennifers LinkedIn: https://www.linkedin.com/in/jennifer-jang-422a3835/