About Me

My background is in engineering and physics, after which I pivoted into business consulting, where I helped companies plan R&D strategy over a 10-year time horizon. With this experience, I switched to corporate venture capital where I specialized in AI, AR, and VR investments as well as assisted with corporate strategy. After completing my M.S. in Management Science & Engineering at Stanford, I returned to venture capital investing, focusing on robotics, IoT and consumer electronics. I now work at CPP Investment's new San Francisco office.


Areas of Interest

Virtual / Augmented Reality

Artificial Intelligence

Internet of Things


Consumer Electronics

2016 - 2018

Stanford University

M.S. Management Science & Engineering

Stanford Honors Coop Program

Stanford Robotics Club, Mars Rover Team

Stanford Student Space Initiative, Balloons / Spaceshot Team

2008 - 2012

University of California, Berkeley

B.S. Engineering Physics

Minor Electrical Engineering & Computer Science

Berkeley Nanotechnology Club

Society of Engineering Sciences

Engineering Physics Honors Society


January 2021 - Present

CPP Investments

Researched and reported ongoing technology and business model disruptions and their potential implications to portfolio companies, investment strategies, and fund operational competitiveness. Raised the profile of CPP Investments in the bay area and west coast through events, thought leadership, investment roadshows, and targeted strategic relationship building and networking.

July 2018 - December 2020

Grishin Robotics

Investor in ​robotics, IoT, AR/VR, Gaming, wellness tech, productivity, and consumer electronics startups.

Deal team on Club Feast, Rogue Games (Board Observer), Taskade, Ziva Dynamics

Startup Mentor at Stanford Lean Launchpad, Volunteer Judge at UC Berkeley Launch Accelerator

Articles at grishinrobotics.com/blog

November 2015 - June 2017

Samsung Ventures America

Generated deal flow and perform technical diligence on companies of strategic interest to Samsung's primary business units. Assisted in construction of investment theses and deep-dive research into new business areas for the Samsung Strategy and Innovation Center. Special focus on artificial intelligence, computer vision, robotics, and virtual and augmented reality startups. Part of the deal teams for investments in Oculii, Plume, and Wave Computing.

January 2013 - November 2015

Strategic Business Insights

Responsible for reporting on new business and technology developments and emerging opportunities in mobile communications, micro-sensors, and micromachining technologies. Present the developments to governments, science parks, and Fortune 100 companies. Participate in consulting projects including market research, scenario planning, and opportunity discovery.

May 2011 - December 2012

Berkeley Sensor and Actuator Center

Designed and fabricated an artificial "leaf" that can rapidly evaporate water through a network of microchannels. This water flow is then used to generate electricity. Experimented with a variety of materials and fabrication methods. Presented my research at industry symposiums and poster sessions, as well as provided training and supervision for an undergraduate assistant.

Summer 2010

Istituto Italiano di Tecnologia / National Nanotechnology Laboratory

Fabricated multiple prototype raised cantilever flow sensors to emulate the lateral flow sensors on fish. Designed a durable three axis capacitive touch sensor for use in robotic fingers. Inspected and measured samples using scanning electron microscope, operated electron beam lithographer, maskaligner, spinner, plasma etcher, sputtering machine, metallic evaporator, profile-meter, practiced wet etching and lifting techniques.

February 2010 - May 2011

Lawrence Berkeley National Laboratory

Worked under Professor Siegrist on a Department of Energy funded "Fission Research Project" muon detector designed to scan for hidden radioactive materials in cargo containers entering the United States. Fit simulations of energy potentials to experimental data on xenon gas to minimize atomic cluster sizes and photon re-absorption to improve detector resolution.