Alex Hartz

General Partner

Shine Capital · San Francisco, California, United States

Present

Partner

Shine Capital · San Francisco, California, United States

Partner

SciFi VC · San Francisco, California

SciFi is an early stage generalist firm with emphasis on fintech, marketplaces, and science. Led the first round for: AccessOS, Aven, Empora Title, Ganymede, Pathpoint, Peach Finance, Rendition, Settle, and StoryTime. Early investor in: AgentSync, Anchorage, Brex, Bunkerhill Health, Capchase, Clipboard Health, CloudTrucks, Divvy Homes, Hugo Insurance, Loft, OwnIt, Pomelo, Psi Quantum, Sentilink, SmithRx, Synthego, Traba, Virta Health, and many others.

Associate

SciFi VC · San Francisco Bay Area

Analyst

HVF Labs · San Francisco Bay Area

Strategist

Glow, Inc · San Francisco Bay Area

Summer Analyst

HVF Labs · San Francisco Bay Area

• Performed due diligence, market research and analysis, screening, and other tasks to facilitate angel investing activities • Attended dozens of startup pitches and interacted with executives from portfolio companies

Summer Undergraduate Research Fellow

Caltech · Pasadena, CA

• Designed and simulated optical nanobeam resonators for on-chip, integrated quantum networks for applications in Quantum Information Processing and Secure Communications • Collaborated with professor, post-doctoral scholars, and graduate students to optimize designs subject to fabrication constraints • Scripted in Scheme, Perl, and Linux Bash Shell

Software Engineering Intern

Vision Technologies · Glen Burnie, MD

• Designed, developed, and implemented web-based programs for internal management applications used by approximately 300 employees • Collaborated with another software engineer to integrate programs with existing infrastructure • Worked closely with mid-level and upper-level management to set initial project goals, determine specific functionality requirements, and facilitate program integration upon completion of development • Completed web development projects using JavaScript, HTML, CSS, SQL, and C#

Computational Genetics Research Intern

Johns Hopkins Bloomberg School of Public Health

• Analyzed genetic imputation accuracy in African Americans by comparing the results of multiple imputation algorithms using several input reference populations; analyzed data sets on the order of several gigabytes • Worked closely with staff-scientist and professor to set research goals and perform specific analyses • Determined combination of genetic imputation software and reference population to maximize genetic imputation accuracy in African Americans