Jason Robinson, PhD - Chief Technology Officer, SteadyIQ
Profile Summary
Name: Jason Robinson, PhD
Title: Chief Technology Officer (CTO) at SteadyIQ
Location: San Francisco Bay Area
LinkedIn Profile: [linkedin.com/in/jasonrobinsonphd](https://www.linkedin.com/in/jasonrobinsonphd)
Connections: 500+
Followers: 6,000+
Education:
- Ph.D. in Chemistry from the University of California, Berkeley (2002)
- MS in Computer Science from an unspecified institution
- MBA in Finance and Strategy
Professional Experience
Current Role:
Chief Technology Officer, SteadyIQ
- Tenure: Since 2021
- Responsibilities: Overseeing technology strategy and innovation, spearheading the development of advanced machine learning and big data platforms, focusing on income verification solutions.
Key Contributions:
- Income Passport: Launched a user-permissioned income verification platform aimed at streamlining income verification for public benefits agencies.
- Patent Holdings: Holder of several patents in areas such as Verification Platforms, Machine Learning, Data Ferret, and Transaction Counterpart Identification.
Previous Experience:
- VP of Data Science and Engineering, SteadyIQ: Prior to his role as CTO, Jason held this pivotal role contributing to significant advancements in the company’s data strategies.
- Data Scientist, Multimodal: Provided strategic consultancy for high-impact, data-driven decisions in competitive marketplaces. Noted for contributions to solving complex problems such as product pricing models and subscriber churn prediction.
Volunteer Work:
- SF Data Mining Co-Organizer (2012 - 2019): Played a critical role in growing the meetup group to over 12,000 members and organized various significant events focusing on data mining and analytics.
Publications:
Jason Robinson has authored and co-authored multiple research papers in reputed journals including IEEE and the Journal of Chemical Physics. His work spans various topics such as chemical spectroscopy, photodissociation pathways, and metal cluster behavior in gas phases.
Patent Portfolio:
Jason’s patent portfolio is extensive, with significant contributions to the fields of identity verification, machine learning, job recommendation systems, and transaction reconciliation. Some notable patents include:
- Verification Platform (US 12,034,739, July 9, 2024)
- Machine Learning Service Based on Skills Graph (Filed June 2, 2023)
- Data Ferret (Filed February 23, 2023)
Skills and Certifications:
Jason has completed numerous specialized courses across data science, machine learning, and business strategy. These include:
- Machine Learning (CS 7641)
- Bayesian Statistics (ISYE 6420)
- Advanced Quantum Mechanics
- Big Data for Health Informatics (CSE 6250)
- Financial Strategy/Tax Planning (FINC 447)
Recommendations:
Jason has received glowing endorsements from prominent colleagues and clients, highlighting his technical acumen, leadership skills, and strategic thinking.
1. Jennifer Saxton praised Jason for his firm’s role in developing scalable data strategies.
2. Harshal Dedhia emphasized Jason's quick learning abilities and his strategic impact on product pricing models at Trulia.
Actionable Insights for Sales Background:
- Expertise in Machine Learning and Data Science: Jason’s vast experience and technical proficiency can provide invaluable insights into advanced tech solutions and integrate cutting-edge machine learning applications into potential products or services.
- Leadership in Technology Strategy: His role as CTO at SteadyIQ demonstrates strong leadership and strategic foresight, presenting an opportunity for collaborative ventures focusing on technological innovation.
- Patent Ownership and Innovation: His comprehensive patent portfolio underscores a strong inclination for innovation and could inform your approach towards tailor-made, technology-oriented proposals.
SteadyIQ under Jason Robinson’s tech leadership is highly focused on advancing verification systems and machine learning applications, which could be pivotal in proposing data-driven, innovative solutions.
