Jamie Yang Email & Phone Number

California, United States

San Ramon, California, US

Richmond, California, US

Mountain View, CA, US

The Google Energy Access team works to make energy more affordable, accessible and clean. We support transformative renewable energy investments and develop businesses which promote access to energy, with a particular focus on emerging markets.

• As the founding CEO, led the company from the pilot phase (2009) through the hiring of an experienced CEO (May 2014). During this time, oversaw the following activities for the company to reach a stage at which it is.
• Increased sales steadily, with modern electricity services now installed in more than 1000 homes and businesses in three regions in Tanzania
• Built the team to its current size of 24, including 20 Tanzanian staff
• Successfully transitioned the company--originally conceived as a battery distribution network (the "Netflix for batteries")--to focus on solar PV sales, distribution, financing, and service
• Raised and managed a total of $1.5m in funding from the following sources:--Equity investors: GDF-Suez Rassembleurs d'Energies, Invested Development--Public sector funds: African Enterprise Challenge Fund, USAID.

• Built team, developed business model, and entered business plan competitions for EGG-energy
• As an affiliate of IntAct Labs (a startup working on microbial fuel cells for wastewater treatment), developed monitoring & evaluation system for fuel cell performance, designed and prototyped one product line
• As a participant of the Fall 2008 Energy Ventures Special Seminar at the MIT Sloan School of Management, worked on business plan for geothermal heating and cooling in the Northeast US

Cambridge, MA, US

• Conducted research on the use of coupled nuclear-electron spin systems as a fundamental building block for quantum computers:
• Numerically simulated and physically implemented novel magnetic resonance techniques to control coupled electron and nuclear spins in solid state systems for use as quantum bits
• Designed, built, and programmed electron spin resonance probes and spectrometers
• Managed and mentored junior graduate students and undergraduate researchersPublished Research:
• Hodges JS, Yang JC, Ramanathan C, Cory DG. “Universal Control of Nuclear Spins Via Anisotropic Hyperfine Interactions.” Physical Review A 78 010303 (2008)
• N. Boulant, K. Edmonds, J. Yang, M. A. Pravia, and D. G. Cory. Experimental demonstration of an entanglement swapping operation and improved control in NMR quantum-information processing. Physical Review A, 68, 032305.

JP

Worked with graduate student at Keio University to design and implement an electron spin resonance system to study the behavior of electron spins in silicon at low magnetic field

Armonk, New York, NY, US

• At IBM Almaden Research Center and the IBM/Hitachi hard drive manufacturing facility in San Jose, California, worked full-time as a co-op student (May-December 2000), Summer Intern (June-August 2001), and Consultant.
• Explored spin-dependent tunneling for future read heads and optimized current giant magnetoresistive read heads for hard disk drives
• Modeled read heads using Mathematica to determine methods for extracting sensor parameters from rotational field magnetometer measurementsPublished Research:
• G. Rutsch, J. Yang, W. Van Drent, D. Mauri, and J. Li. Vector Magnetometry of Synthetic Spin Valves. IEEE Transactions on Magnetics, 40(10), 3712-3714 (2005).
• J. Wolfman, D. Mauri, T. Lin, J. Yang, and T. Chen. Low Resistance Al2O3 magnetic tunnel junctions optimized through in-situ conductance measurements, Journal of Applied Physics, 97, 123713 (2005).

Berkeley, CA, US

• Undergraduate physics research experience in SQUID (superconducting quantum interference devices) for quantum computing:
• Built filters and electronics for superconducting flux-based quantum bit laboratory

Doctor Of Philosophy (Ph.D.), Department Of Nuclear Science And Engineering, Quantum Information

Bachelor'S Degree, Dual Degree In Materials Science And Electrical Engineering Computer Science