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@cal.berkeley.edu
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Jason Robinson, Phd is listed as CTO at Steady | 2X Founder | MSCS: Machine Learning | MBA: Finance + Strategy at Steady, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at cal.berkeley.edu, phone signal with area code 650, and a matched LinkedIn profile for Jason Robinson, Phd.
Jason Robinson, Phd previously worked as Chief Technology Officer at Steady and VP, Data Science and Engineering at Steady. Jason Robinson, Phd holds Doctor Of Philosophy - Phd, Physical Chemistry from University Of California, Berkeley.
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Jason Robinson, PhD, delivers high-impact and effective technical and business leadership, with work experience spanning multiple industries and functions. Jason’s leadership is bolstered by his academic track record and commitment to lifetime learning, resulting in deep technical solutions, as well as strong intellectual property contributions. Selected Work Experience: • Chief Technology Officer – Steady (fintech, income verification)• VP, Data Science and Engineering – Steady (fintech, income verification)• Co-founder, Managing Director – Multimodal LLC (data science/machine learning consulting)• Director of Data Science – Turo (mobility)• Adjunct Professor of Law – Northwestern University Pritzker School of Law (data science, shaping young minds)• Founder, CEO – Next Mountain Corp (SaaS, mobile apps)• Data Science Manager – Origami Logic (big data for marketers; acquired by Intuit)• Data Scientist – Origami Logic (big data for marketers; acquired by Intuit)• Business Analyst – Trulia (data science, analytics, predictive modeling, machine learning; IPO, then acquired by Zillow)• Senior Technology Development Engineer – Intel (advanced semiconductors)• Postdoctoral Fellow – Lawrence Berkeley National Lab (dynamics research)Academics:• MS – Georgia Tech (Computer Science, Specialization in Machine Learning)• Graduate Certificate – Stanford (Data Science / Data Mining and Applications) • MBA – Kellogg/Northwestern (Siebel Scholar / Finance, Decision Sciences, and Management & Strategy)• PhD – UC Berkeley (Physical Chemistry)• BSCHEM, BS Honors degrees – UGA Honors Program (National Merit Scholar / Chemistry and Psychology; premed who discovered the joys of scientific research)
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Everywhere, Us
• Leading Engineering, DevOps, Site Reliability, Architecture, Data Science (ML), and Data Engineering teams in a B2B/B2G + B2C context• Expanding and managing Intellectual Property portfolio; contributed to 10 published full patent filings (2 issued; see below), while managing prior, current, and planned filings• Helping build a better future for America's global workforce
Everywhere, Us
• Led Data Science, Data Engineering, Data Operations, and Data Annotation teams in a B2B/B2G + B2C context• Enabled adoption of cloud-based Data Science/Machine Learning via Databricks platform• Drove efficiency improvements, including throughput of a complex real time streaming pipeline • Expanded and managed Intellectual Property portfolio• Helping build a better future for America's global workforce
Palo Alto, Ca, Us
• Built and released mobile applications for personal optimization and managing connections• Built and launched several scalable SaaS products, including a cryptocurrency trading simulator, career management platform, and Solo CRM (replaced by M Connections)• Built and developed main site and internal sites• Full-stack engineering, architecture, devops, product development, design, marketing• Web development, site and web app: Node.js, React JS, HTML, CSS, Bootstrap, JS build tools, etc.• Mobile development: React Native (prototyping), Flutter (deployed), and Android/iOS native (Kotlin/Android deployed)• Persistence layer: Google Firebase, Cloud Firestore• Prototyping includes Go, Java, Kotlin, Swift, MongoDB, RethinkDB, etc.• DevOps: a combination of AWS (site, web app, and blog; multiple staging and production environments) and Google Cloud Services, including Cloud Functions• Cover business and technical aspects (coded all products from scratch, scaled them on AWS + Google Cloud Functions)• Marketing, blogging, finance, analytics, etc.• Trademark: Reg. No. 5,395,752• Online course creation: curriculum development, video, audio processing• Bootstrapped company from zero to functional products, and managed P&L throughout the process• Worked with customers to validate and improve product features and usability
• Founded Multimodal LLC with the vision of helping companies understand and extract the maximum value from their data, while reducing the time to insight and realized return• Closed for business August 2021, finalized dissolution February 2022
San Francisco, Ca, Us
• Built Growth / Marketing Data Science team from scratch• Focused on paid acquisition, retention/engagement, automated bidding, AB and market-based testing, and other data-powered marketing activities• The Growth Data Science team data delivered several key products, including customer segmentation, lifetime value, and customer activation models
Chicago, Il, Us
• Developed (from scratch) and taught an on-campus business-focused data science course, for the Master of Science in Law (MSL) program• This intensive course combines data visualization, machine learning algorithms, and data science business applications
Mountain View, Ca, Us
• Built automated data products for an industry-leading enterprise SaaS-based marketing signal measurement platform• Hands-on manager: pushed production code for scalable data products
Mountain View, Ca, Us
• Built automated data products for an industry-leading enterprise SaaS-based marketing signal measurement platform• Prototyped and integrated a robust automated signal detection methodology with probable cause suggestions across disparate data sources• Prototyped and integrated an automated data engineering methodology including interpolation and extrapolation of disparate time series data• Initial work included bespoke analyses of secure data for potential customers• Primarily used Python data science stack (e.g. NumPy, SciPy, Pandas, etc.) with MongoDB for prototyping and integration into production pipelines• Leveraged Cython and profiling to improve code performance and reduce memory footprint• Also, used NLTK, R, Hive, Impala, HBase, bash scripting, PostgreSQL, MySQL, Vagrant, etc.• Generally worked in Linux/UNIX environments• Used agile software development methods; tools included Atlassian JIRA, Pivotal Tracker, etc.• Joined early: first data science hire, with 5 people in the company at the time (6th employee)
San Francisco, Ca, Us
• Developed custom pricing models for web and mobile ads at both the city/state and ZIP levels to optimize revenue• Built predictive and inferential churn models to optimize paid offerings and improve retention• Built a recommendation system to align sales opportunities with advertising inventory, enhancing sales effectiveness• Generated analyses supporting Trulia's IPO roadshow• Performed data mining, machine learning, and predictive modeling primarily related to Trulia's Business Services group, including Product and Sales/Marketing• Worked with a variety of internal customers, including product, sales/marketing, and executives; frequently interacted with engineering and data warehousing groups• Frequently constructed custom datasets across multiple databases with complex schema• Primarily used R and MySQL
• Provided technical and business advice to a stealth-mode alternative and renewable energy company primarily focusing on the Indian market
• Aggregated, normalized, and analyzed proprietary data from VentureSource to support fundraising activities for an early-stage venture capital firm• Investigated data from several other financial databases, proprietary data providers, and industry sources• Primarily focused on analytics, including extensive manual data cleansing and deduplication• Internship
• Screened 50+ early stage venture capital deals across a broad range of sectors, from high tech to consumer products• Created competitive overviews, investment profiles, and full due diligence packages• Developed an extensive university/national lab technology database• Updated and enhanced fund marketing and investment materials• Internship (7 mo)
Santa Clara, California, Us
• Selected for management role in upcoming technology cycle
Santa Clara, California, Us
• Led high-profile/high-impact technology development forums (45 nm -- 2 years, 32 nm -- 1 year), generally consisting of 12-24 members, resulting in successful technology transfers with improved performance, reliability, and yield• Developed next-generation microprocessor production processes as the primary technology development owner for multiple toolsets• Worked in Portland Technology Development (PTD), which was chartered with keeping Intel one generation ahead• Directed and mentored several technology development technicians and engineers, as well as many manufacturing engineers and technicians from worldwide locations during technology transfers; also directed field service engineers from multiple semiconductor equipment vendors• Selected semiconductor processing equipment (large, automated toolsets) and materials, to enable new capabilities and reduce cost• Transferred processes to Intel's international high volume manufacturing organization for two technology nodes (65 nm, 45 nm), across multiple toolsets• Worked in several highly-automated environments, including a fab relocation and start-up• Published 1 article, listed below, as well as numerous internal specifications and whitepapers• Routinely used statistical techniques, statistical process control, and multivariate testing• Troubleshot issues 24x7• Performed pathfinding experiments and analysis, leading to new technology capabilities
Berkeley, Ca, Us
• Developed and successfully applied a challenging energy-related chemical dynamics technique• Published 4 articles in physics journals, listed below• Collaborated with researchers from UC-Santa Barbara• Focused on chemical physics and reaction dynamics
Berkeley, Ca, Us
• Performed rigorous experiments in chemical physics and reaction dynamics, with a focus on energy-related systems• Led team to relocate/upgrade complex custom scientific equipment (inherited from Nobel Laureate Yuan T. Lee), improving capabilities, performance, and sensitivity• Analyzed intricate data using C/C++, quantum computational software, and other custom software• Published 4 articles (3 in physics journals, 1 in JACS), listed below• Spent time in Taipei, Taiwan collaborating with researchers at the Academia Sinica• Operated, maintained, and upgraded electronics, lasers, and high vacuum systems• Performed numerous experiments at the Advanced Light Source, a 3rd generation synchrotron at Lawrence Berkeley National Lab• Directed and mentored undergraduates, graduate students, and postdoctoral fellows
Athens, Ga, Us
• 2+ years Physical Chemistry research, including 1 year Honors research – Honors Thesis, 2 publications (laser-based methods for nanotechnology investigations, including studies of clusters and fullerenes)• 2 quarters Organic Chemistry experience (including synthetic chemistry and capillary electrophoresis)• 3 quarters Honors Social Psychology research, 1 quarter Cognitive Psychology research – 1 publication
Quick answers generated from the profile data available on this page.
Jason Robinson, Phd works for Steady.
Jason Robinson, Phd is listed as CTO at Steady | 2X Founder | MSCS: Machine Learning | MBA: Finance + Strategy at Steady.
AeroLeads has found 1 work email signal at @cal.berkeley.edu for Jason Robinson, Phd at Steady.
AeroLeads has found 3 phone signal(s) with area code 650 for Jason Robinson, Phd at Steady.
Jason Robinson, Phd is based in San Francisco Bay Area, United States while working with Steady.
Jason Robinson, Phd has worked for Steady, Next Mountain, Multimodal Llc, Turo, and Northwestern University Pritzker School Of Law.
You can use AeroLeads to view verified contact signals for Jason Robinson, Phd at Steady, including work email, phone, and LinkedIn data when available.
Jason Robinson, Phd holds Doctor Of Philosophy - Phd, Physical Chemistry from University Of California, Berkeley.
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