Parikshit Sharma

As a Partner, Parikshit is engaged in investments and operations at all stages of the fund, from sourcing to growth. He is responsible for the execution of follow-on investments for the IndieBio portfolio.

Parikshit started his career at IndieBio and has seen firsthand what it takes to build a deep tech startup, sitting right next to the founders, in the trenches. Observing recurring dichotomies, the hard decisions, and human costs when it comes to prototyping, company building, and market discovery at the earliest stages has been foundational in defining his investment and operational lenses. To that end, he works in high resolution with portfolio companies on milestone mapping, building data rooms, and health/techno-economic modeling.

Fascinated by volume and value tradeoffs, he is passionate about systematizing IndieBio’s investment theses and platform development by researching and implementing investment instruments and tech stacks. Parikshit actively tracks the latest in artificial intelligence and machine learning research, with a deep interest in novel computation architectures for biology. In addition, Parikshit’s investment thesis research spans project finance for new infrastructure and problems in operations research to fine-tune the means of production and distribution.

Prior to joining IndieBio, he interned in the energy finance department of a multilateral development bank, assessing and modeling risk to scale up renewable energy investments in India. Accelerating technology adoption in emerging markets continues to be an important interest area for him and he enjoys advising and brainstorming with startup incubators and startups across the Global South. Parikshit is big into personal knowledge management and curates his learnings and readings in a library: Structure Function

Parikshit is a graduate of Bowdoin College where he studied Mathematics and Economics and attended the General Course at the London School of Economics.

“Minimize the cost, not the chances of risk.”

Dr Jun Axup