Founder/CEO, Quantum Equilibrium Scientist
Dr. Pankaj Jha is Founder/CEO, Quantum Equilibrium Scientist at AI-Life Pay Inc. Dr. Jha is an executive specializing in Quantum Equilibrium, Quantum Spin-Data, Fintech Risk Profiling and Targeting, Investments and Quantum Innovation. At AI-Life Pay Dr. Jha's strategic vision and plan is to build Quantum Equilibrium fintech platform using AI-Life Score™, proprietary algorithm. Platform will be used to identify credit worthiness and fraud prevention, using dark data analysis.
Prior to AI-Life Pay Inc., Dr. Jha worked at GIANT AIBI, Palo Alto, USA and Intel, Portland, USA. At Intel he was involved in Front-end Technology Development for 10nm Tri-Gate 3D transistor (P1274). Dr. Jha received his masters and PhD degree from Purdue University in 2010 and 2013 respectively. Dr. Jha completed an intensive in-person certificate program on Executive Education, Finance and Accounting (FANFE) at Stanford Graduate School of Business in February 2024 and US Intellectual Property Law at Stanford Law School in August 2024. At Purdue University his research was focused on Novel Perovskite Oxide Devices, Oxide Superlattices, Oxide Thermoelectrics. In 2013 Dr. Jha had MIT, Postdoctoral Scholar Offer which he did not pursue further. He received Student Innovator Award 2013 and 2012 at Office of Technology Commercialization-Purdue Research Foundation. Dr. Jha also received Nanotechnology Student Advisory Council (NSAC) Leadership Award 2012. Award Citation: "The NSAC Leadership award has been established to provide recognition for outstanding service, participation, and leadership for NSAC", Birck Nanotechnology Center, Purdue University. He was visiting research scholar at Interuniversity Microelectronics Center (IMEC), Belgium in 2008.
Palo Alto, California, USA
Founder/CEO and Quantum Equilibrium Scientist
AI-Life Pay
Mar 2023 - Present
Palo Alto, California, United States
Founder/CEO, Nanotechnology and AI Scientist
GIANT AIBI
Apr 2015 - Dec 2022
Palo Alto, California, United States
Technology Development Engineer
Portland Technology Development, Intel Corporation
Aug 2013 - Mar 2015
Portland, Oregon, United States
PhD Candidate and Graduate Research Assistant
Purdue University
Jan 2008 - Aug 2013
Birck Nanotechnology Center, Indiana, United States
Visiting Research Scholar
Interuniversity Microelectronics Center (IMEC)
Jun 2008 - Aug 2008
Belgium
National Research Fellowship
Indian Institute of Technology, Bombay
Jun 2006 - Aug 2007
Stanford Law School
US Intellectual Property Law
Aug 2024
Grade: In-Person, Certificate
Stanford University Graduate School of Business
Executive Education, Finance and Accounting (FANFE)
Feb 2024
Grade: In-Person, Certificate
Purdue University
Doctor of Philosophy (PhD), Electrical and Computer Engineering
2010 - 2013
Grade: Nanotechnology
Activities and Societies:
Advisor: Professor Timothy D. Sands (https://www.president.vt.edu/index/biography.html)
Thesis: Cross-plane thermoelectric transport in p-type LSMO/LMO superlattices
Purdue University - Krannert School of Management
MINI-MBA Program: Applied Management Principles
May 2013
Purdue University
Master of Science (M.S.), Electrical and Computer Engineering
2008 - 2010
Grade: Nanotechnology
Activities and Societies:
Advisor: Professor Timothy D. Sands (https://www.president.vt.edu/index/biography.html)
Thesis: P-type Perovskite Oxide Thermoelectrics
Issued June 4, 2019 • United States • Patent No.: US 10,312,426,B2
See Patent
Oxide metal semiconductor superlattices for thermoelectrics
US20120227663A1US
See Patent
Reviewer
Issued by Journal of Applied Physics
Sep 2014
Student Innovator Award 2013
Issued by Office of Technology Commercialization-Purdue Research Foundation
Nov 2013
MINI-MBA Program: Applied Management Principles at Purdue University Krannert School of Management
Issued by School of Electrical and Computer Engineering and College of Engineering, Purdue University
May 2013
MIT, Postdoctoral Scholar Offer
Issued by MIT- Massachusetts Institute of Technology, Cambridge, United States
May 2013
Nanotechnology Student Advisory Council (NSAC) Leadership Award 2012
Issued by Birck Nanotechnology Center, Purdue University
Jan 2012
Student Innovator Award 2012
Issued by Office of Technology Commercialization-Purdue Research Foundation
Jan 2012
Travel Grant, Electronic Material Conference (EMC-2011)
Issued by Electronic Material Conference
Jan 2011
Thermoelectric Transport in Perovskite Oxide Superlattices
Jan 2010 - Present
P-type Perovskite Oxide Thermoelectrics
Jan 2008 - Jan 2009
The Minerals, Metal and Materials Society
Member · May 2011 - Present
Material Research Society
Member · Jan 2010 - Present
Nanodays at Birck Nanotechnology Center, Purdue University
Volunteers Committee Chair · Jan 2012 - Jan 2013
Birck Nanotechnology Center, Purdue University
Graduate Ambassador · Jun 2010 - Jun 2012
Nanotechnology Student Advisory Council (NSAC)
President · May 2011 - Jun 2012
Nanotechnology Student Advisory Council (NSAC)
Research and Awareness Chair · May 2009 - May 2011
Quantum For Randomness, Speed and Accuracy
Quantum For Randomness, Speed and Accuracy
Quantum Hidden Variables Market Volatility, Risk Profiling and Optimization
Quantum Hidden Variables Market Volatility, Risk Profiling and Optimization
Quantum Probability At Collapse Of Wave Function For Confidence and Security
Quantum Probability At Collapse Of Wave Function For Confidence and Security
New Paradigm Investments, Innovating Capital Purpose, Technological Evolutions
Invest in People and Idea
Value What People Create That Is Not In Dollars
Looking at What Market to Create
Seed, Early and Growth-stage Investments
Optimizing a Risk-neutral Objective
Risk-Sensitive Reinforcement Learning
Network Reliability with Exponential Criteria
Detect Evolving Arbitrage Data in Fintech
Score Risk, Maximizing Value and Bringing Wealth to Its Full Potential
Quantum Science Driven "AI-Life Score"
Complex Content That Yields New Network
In-depth Analysis of Companies and Industries
Risk Analytics Protecting Evolving Investment
Quantum Algorithm That Unifies Common Data Algorithm For Credit Risk Decision
Uncertainty Quantification
Lending Platform Tracing Lineage of Data
Visualizing The Bivariate Normal Distribution
Score Every Event to Calculate Creditworthiness
Merchant/Consumer/Business Onboarding
Credit Decisions
Boost Approvals
Cash Flow Score