Andrew Tang brings over 20 years of cross-border experience spanning chip design at Intel, tech investment banking at Credit Suisse First Boston, corporate venture at Infineon and ABB, and co-founding Draper Dragon in 2006 for US-Asia investing, plus he holds technical credentials including an MIT master's in electrical engineering and a U.S. patent in silicon germanium materials. He simultaneously serves as Managing Director of Draper Dragon Fund, Partner at Draper Associates, and CEO of Draper University, allowing him to control both the educational pipeline and investment decisions for many founders he backs.

• A deep focus on the intersection of macroeconomic trends and the cryptocurrency market. Analyzes financial cycles to determine if historical patterns like the four-year Bitcoin cycle are still valid or if the market is maturing due to institutional adoption. Closely watches regulatory developments, believing that clearer laws and tokenization will allow startups to raise funds on-chain more efficiently in the near future.
• Investment interest in dual-use defense technology and hard science innovations. Highlights companies solving complex logistical hurdles, such as Radiant Nuclear, which is developing portable nuclear power generators that fit on trucks for remote deployment. Also enthusiastic about next-generation warfare technology, including laser defense systems intended to counter drone attacks.
• Attention to how artificial intelligence is radically reshaping startup efficiency and software engineering. Observes that founders are successfully reducing traditional R&D headcount while simultaneously increasing code output by integrating Large Language Models into their workflow. Suggests that the most successful companies will likely re-architect their entire platforms to be AI-native rather than just gradually phasing in new tools.
• Enthusiasm for physical AI and robotics as a burgeoning sector comparable to the early smartphone era. Believes that while digital AI is dominant now, the integration of intelligence into hardware will become ubiquitous. Argues that despite fears of automation, the widespread adoption of robotics and AI agents will exist alongside human jobs rather than simply replacing them.
• Monitoring of Federal Reserve policies and their downstream effects on venture capital and risk assets. Often skeptical of traditional economic data used by economists, preferring real-time insights from CEOs and business operators to gauge the health of the labor market. Looks for shifts in monetary policy, such as quantitative easing, as signals for when investment activity will heat up again.
• Support for frontier biotechnology and longevity research. Backs companies working on ambitious scientific goals like epigenetic reprogramming to treat aging. Sees value in unique intellectual property within the life sciences, such as cloning technologies that have commercial applications in the pet market.