People

Data mining for anomalies in expected behaviors

My focus in the MIDS program will be on time series analysis and machine learning techniques, and how they can be utilized for applications within my current industry (financial services).

Applications of cognitive and data science to research ethics, pedagogy, decision making, problem solving, language processing, social justice issues, and gaming

Now: studying data science. Next: IoT product scientist. Previously: hardware engineer turned software product manager

I intend to focus on my Machine Learning and Deep Learning skills at the I school.

Blockchain, Software Development

UX Research

Applicability of Data Science and Big Data in Enterprise Business Processes

Helping to make sense of data.

Machine Learning and Big Data analytics to solve data-centric obstacles in financial services

applied microeconomics, behavioral science, machine learning

Intelligent, embedded high performance processing specializing in machine learning in scenarios requiring non-linear and statistical filtering, from small scale (camera imaging, smart grid monitoring) to large (F22 FLIR, Apache Helicopter Longbow radar)

DS, NLP & ML