Experience & Education
Volunteer Experience
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Program Mentor, Partner, & Advisor
Hack.Diversity
- 5 years 5 months
Mentor to emergent Black and Latinx professionals in tech, with a focus on supporting career development and opportunity
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Angel Investor
Occasionally supporting founders as an angel in a personal capacity, investments include:
𝗘𝗺𝗲𝗿𝗴𝗲𝗱 𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁𝘀 (𝟭𝟬𝟬𝘅+) • Chainlink Labs (led at Underscore VC, 900x+) • Ripple Labs (150x+)
𝗘𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁𝘀 (𝟭𝟬𝘅+) • Mercury Bank (35x) • LabelBox (19x) • Notion (10x) • Eight Sleep (10x) • Quo (10X)
𝗘𝗮𝗿𝗹𝘆 𝗦𝘁𝗮𝗴𝗲 𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁𝘀 (𝟭-𝟭𝟬𝘅+) • Abra, Abodu, Airmeet, AltoIRA, Anvyl, Arda Therapeutics, Cafe X, Cambrian Biotechnologies, Cash Live, Chalk, Clara, Constant, Endura Therapeutics, Firefly, Foresight Health, Glif,…𝗘𝗺𝗲𝗿𝗴𝗲𝗱 𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁𝘀 (𝟭𝟬𝟬𝘅+) • Chainlink Labs (led at Underscore VC, 900x+) • Ripple Labs (150x+)
𝗘𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁𝘀 (𝟭𝟬𝘅+) • Mercury Bank (35x) • LabelBox (19x) • Notion (10x) • Eight Sleep (10x) • Quo (10X)
𝗘𝗮𝗿𝗹𝘆 𝗦𝘁𝗮𝗴𝗲 𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁𝘀 (𝟭-𝟭𝟬𝘅+) • Abra, Abodu, Airmeet, AltoIRA, Anvyl, Arda Therapeutics, Cafe X, Cambrian Biotechnologies, Cash Live, Chalk, Clara, Constant, Endura Therapeutics, Firefly, Foresight Health, Glif, Golden, GreatMany, Here, Hotline, Jetty, Kinside, Kittl, Knowde, Kodiak Robotics, Levels, Loyal Health, Mastra AI, Melonn, Mem0, MindsDB, Neon, Passport, Pear AI, Permit IO, Pika, POAP, Rarify, SkySafe, Slingshot AI, Smalls, Smarthop, STRIVR, SuperMove, Ubiquity6, Upstream
𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗪𝗶𝘁𝗵 𝗔𝘄𝗲𝘀𝗼𝗺𝗲 𝗙𝗼𝘂𝗻𝗱𝗲𝗿𝘀
• Airhouse, Betterview, Creatorspace, Nodesource, Pillow, SketchDeck, Tessera, UpCounsel, Zuli
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David Gilford
Private capital is now driving infrastructure buildout at a scale that rivals — and in some cases exceeds — government-led programs. Four US companies alone are expected to invest $650 billion in AI infrastructure in 2026. That shift has real consequences: for grid load, energy affordability, national security, and how cross-border investment gets structured. Next Tuesday, I'm joining the Dentons Smart Cities & Connected Communities Think Tank and the Keystone Policy Center for a virtual roundtable on the implications for investors. We'll be navigating an environment where—to put it mildly—the policy picture hasn't quite caught up with the capital flows. I'm looking forward to the discussion with Michael Considine, Guly Sabahi, and Michael Zolandz, with opening remarks from Christine Scanlan and Clint Vince. Thanks to the Dentons team for inviting PolicyAlpha, especially Linda Willard, Dorinda Graves, and Jennifer Morrissey. If infrastructure finance, AI, energy, or public-private collaboration are on your radar, I hope you'll join us on Tuesday, 3/10 at 11:30am EDT. Registration link in the comments below. #Infrastructure #AI #EnergyTransition #DataSovereignty #SmartCities #PrivateCapital #PolicyAlpha
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Evan Nisselson
Jazzed for this keynote by Jeff Erhardt at our 12th annual LDV Capital Vision Summit: The Materials Innovation Gap: Why AI Predictions Aren't Enough — And What It Will Take to Transform a $6 Trillion Industry RSVP: https://lnkd.in/eeUHN_m AI is transforming industry after industry, and generating enormous excitement in the world of materials science. Machine learning models can now predict millions of new material candidates with unprecedented speed and accuracy. At the same time, programmable material classes, including those recognized by the 2025 The Nobel Prize in Chemistry, could unlock breakthroughs in some of the most pressing challenges facing civilization, from environmental remediation to the energy transition. But their impact is constrained by something prediction alone cannot resolve: new materials must be physically produced, scaled, integrated, and qualified within the larger systems into which they are deployed, a journey that remains extraordinarily long, expensive, and unpredictable. Jeff will argue that closing this materials innovation gap requires treating AI and physical experimentation as equal partners, and building a new model of collaborative development that connects materials innovators and industrial partners far earlier in the discovery process.
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