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EVENT DETAILS |
The Zoom meeting link will be emailed to you on the day of the event. If you do not receive it, please email us at marketing@downtodash.com.
The Zoom meeting link will be emailed to you on the day of the event. If you do not receive it, please email us at marketing@downtodash.com.
About this Event
Panelists:
1. Elizabeth Harrow - Vice President with the Multicultural Innovation Lab at Morgan Stanley
Elizabeth Harrow is a Vice President with the Multicultural Innovation Lab at Morgan Stanley. The Multicultural Innovation Lab promotes financial inclusion & provides access to capital for early stage technology companies led by women & multicultural entrepreneurs. Prior to joining the Multicultural Innovation Lab, Elizabeth held key roles within Morgan Stanley including as a strategist for Institutional Equity Strategy & Quantitative Research, & as an equity analyst for Wealth Management Investment Resources. Elizabeth is a member of the 37 Angels investing network in New York. Elizabeth received a B.A from Colgate University.
2. Miguel Medina - Y Combinator S20
Miguel Angel Medina is a drop-out Bachelor in Industrial Engineering by the Instituto Tecnolgico y de Estudios Superiores de Monterrey (ITESM - Tec de Monterrey).
At his age of 30, with more than 15-year experience, he has worked for various global organizations like Apple & Danone. He had his first glance of the startup world at Tripda; a Rocket Internet backed company that was shut down in 2016. He is also a Serial Entrepreneur, with several companies fails. In 2016 he entered Rappi, he was an early employee. He led the launch of many cities in Mexico, Argentina & Brazil. Miguel has also been Rio De Janeiro's City Manager & Regional General Manager for Mexico.
He is now Co-Founder of Plerk, a virtual card with benefits to pay for flexible perks for local & remote teams. Plerk was part of YCombinator S20 batch.
3. Amos Schwartzfarb - Managing Director at Techstars
4. Ankit Gordhandas - Founder/CEO, Intersect Labs | Y Combinator S19 | MIT '10
Intersect Labs enables anyone to make machine learning-driven predictions in 3 clicks (no coding needed).
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