Steven Gustafson Email & Phone Number

Kirkland, Wa, Us

Seattle, Wa, Us

Basel, Ch

AI-based tools that provide evidence-based information assessment, leveraging the methodology and best practices from science and journalism. Our products help knowledge workers understand, trust and act upon online information.

Bellevue, Wa, Us

Provide career advice and guidance to current and former Masters students at GIX, a partnership between University of Washington and Tsinghua University

6300 Zug , Switzerland, Ch

Prasaga proudly introduces The DataGrid – advanced distributed ledger technology standards that power individual sovereignty and decentralized marketplaces

Mountain View, California, Us

Finance, Artificial Intelligence and Blockchain Startup

Boston, Ma, Us

Authored series of articles describing how to achieve industrial digitization, the transformation of an analog business model or decision process into an AI-driven one. From understanding measurement to approaching business models using a distributed mindset, the articles use real-world examples of successes and failures from over 10 years in R&D at General Electric and 3 years at a software platform startup.

Seattle, Wa, Us

Guest Faculty at the University of Washington in the Information School (iSchool) and the Global Innovation Exchange (GIX). Teach and develop graduate courses, including Foundation of Technology (Python-based software engineering and data science), Portable Information Structures (JSON, RDF, APIs, Knowledge Graphs), Organization of Information Structures (Taxonomy and Ontology), Integrated Launch Studio 2 (Industry-sponsored Team Projects), and Hardware Software Lab 2 (Design and Develop Products)

Seattle, Washington, Us

Initial CTO of a Seattle-based fintech startup, responsible for architecting and leading development of initial thematic investing and research product, consisting of API-based web application and data feed. Innovation included 2 awarded patents and novel use of large language models (LLM), knowledge graph, and multiple types of machine learning models and data processing to stream 75K+ news items per day through a high-performance machine learning pipeline. Enabled investment, acceptance into incubators, and first web application and index customers. Responsible for hiring and leading data science and engineering team, including many interns. Managed adoption of remote and hybrid work during COVID-19 pandemic.

Palo Alto, Ca, Us

Chief Scientist responsible for designing and developing advanced AI services for the proprietary knowledge platform driving digital transformation and optimization of business decisions at world’s largest industrial companies. Led customer solution focused Data Science team with international hires and projects. Led research team developing innovative AI solutions including automated machine learning, document classification, NLP, semantic similarity and active-learning based machine learning systems.

Berkeley, Ca, Us

Serve as an Advisor to the Course and Project.

Piscataway, Nj, Us

Chair of the Computational Intelligence Society of the IEEE Schenectady Section, part of the Region 1 of IEEE. Organized technical talks on Artificial Intelligence, Machine Learning and Data Science and contributed to the growth and success of the overall Section.

Niskayuna, New York, Us

Lead and manage the Knowledge Discovery Lab at GE Global Research. Grow existing talent and hire best-in-class scientists and researchers. Shape and guide overall organization and company's research and focus in Artificial Intelligence (AI). Responsible for success and metrics around publications, patents, securing research funding, delivering impact to customers, and talent management. Additionally, led initiatives around Big Data, Data Science, and AI Strategy, working with GE's customers, academic partners, and GE's business executives. Lab focus areas of expertise and research projects: large-scale data storage, processing and analysis, knowledge management, including unstructured and heterogeneous data, ontologies, semantics and text mining and NLP, and pattern discovery and search.

Niskayuna, New York, Us

Lead the development of sentiment and root cause classification for industrial and healthcare applications. Publish and present research to external communities and internal business leaders. Develop large-scale distributed meta-learning machine learning approaches using tools like WEKA, Hadoop and Map Reduce.Lead and develop innovate data-driven approaches to Open Source Intelligence (OSINT) and web personalization, including online buzz mining, online role analysis, intent mining, and social network analysis. Present research to external communities and internal technical teams and business leaders.

Niskayuna, New York, Us

Lead and develop large-scale web personalization efforts, including early adoption of Apache Hadoop for massive scale click stream mining, video recommendation algorithms, and social intent / behavior models. Develop models of churn in the sales organizations, and research methods for automated feature construction in machine learning of industrial time series.

Berlin, Berlin, De

Founding editor, with three others, of the Memetic Computing journal. Guided journal's growth of submissions, community of program committee members, reviewers and recognition in community. Responsible for overseeing the handling of manuscripts, their technical content, and special issue proposals.

Schenectady, Ny, Us

Supervise and evaluate final year projects for the Department of Electrical Engineering and Computer Engineering with focus on Internet of Things, Artificial Intelligence, Big Data, Data Science and Machine Learning.

Nottingham, Gb

Perform research in heuristic optimization and search, algorithm analysis and applications toward labs projects. Coordinate various lab activities and teach undergraduate modules in Formal System Specification and Software Engineering Group Projects.

Perform independent research in Genetic Programming and simulated robotic soccer, contribute to various lab projects, and develop machine learning libraries in Java.

Manhattan, Ks, Us

As a member of the Knowledge Discovery from Databases group, developed machine learning algorithms to identify patterns within large data sets, search over the space of machine learning algorithm parameters for meta-learning, and develop robotic control algorithms to play simulated soccer.

Ph.D., Computer Science

Ms, Computer Science