Welcome

I am a freelance researcher working for companies and research institutes that would like to use machine learning and predictive analytics for their business and research. My speciality is deep learning and sequential decision making under uncertainty such as reinforcement learning and POMDP.

Research Interests:
  • Analysis of big data using a deep learning framework
  • Task-dependent spatiotemporal representation in a partially observable domain
  • Theoretical relationships between spiking neuron models and energy-based models
Favorite Topics:
  • Energy-based model (a.k.a. undirected graphical model, Markov random field)
  • Sequential decision making under uncertainty (reinforcement learning, POMDP, and PORL)
  • Dynamic Boltzmann Machine (DyBM)
  • Deep learning and Recurrent neural network
  • Computational neuroscience with theoretical underpinnings
  • Dynamic causal modeling (DCM) for fMRI
  • Game theory
  • Psychology and Cognitive science
  • Permaculture and User-oriented design
Previous Work and Education
  • IBM Research - Tokyo [TRL] (Researcher)
  • Okinawa Institute of Science and Technology [OIST] (Researcher)
  • Nara Institute of Science and Technology [NAIST] (Ph.D in Engineering)
  • University of California, Los Angeles [UCLA] (B.A. in Psychology/Cognitive Science)
Professional Training
  • Principles of fMRI 2 [link]. Verified Certificate earned on October 18, 2016
  • Deep Learning Reading Group., Okinawa Institute of Science and Technology (OIST). October 9, 2015 - August 26, 2016 [textbook]
  • Functional Programming Principles in Scala [link]. Verified Certificate earned on July 21, 2016
  • Deep Learning Summer School. University of Montreal, August 3 - 12, 2015 [link][video]
  • Big Data XSeries Certificate from UC BerkeleyX earned on August 12, 2015.
  • Scalable Machine Learning by Berkeley on edX [link]. Verified Certificate earned on August 06, 2015.
  • Introduction to Big Data with Apache Spark by Berkeley on edX [link]. Verified Certificate earned on July 10, 2015.
  • The Analytics Edge by MIT on edX [link]. Verified Certificate earned on May 28, 2015.
  • Welcome to Game Theory by The University of Tokyo on Coursera [link]. Verified Certificate earned on March 10, 2015
  • Course in Molecular Neuroanatomy (MNA2011). October 10 - 21, 2011 [link]
  • Berkeley summer course in mining and modeling of neuroscience data. Redwood Center for Theoretical Neuroscience, UC Berkeley, July 11 - 22, 2011 [link]
  • Okinawa Computational Neuroscience Course 2006-2012 (volunteer), Seaside House, OIST [link]
  • Machine Learning Summer School 2008, Kioloa, March 3 - 14, 2008 [link]
  • Probabilistic Models of Cognition: The Mathematics of Mind. IPAM, UCLA, January 24 - 28, 2005 [link]
Publication
Language:
  • Japanese (fluent)
  • English (fluent)
  • Python (fluent)
  • R (fluent)
  • Matlab (used to be fluent)
  • PySpark (intermediate)
Place:
  • Okinawa, Japan
Contact:
  • motsuka@ucla.edu