Tyler Streeter

Theoretical Machine Learning / Statistics Researcher: Bayes, Information Theory, Boltzmann Machines

Iowa City, Iowa, United States of America

Research Expertise

artificial intelligence
machine learning
undirected graphical models
Boltzmann machines
Markov random fields
Ising models
spin glasses
Hopfield networks
energy-based models
log-linear models
directed graphical models
feedforward neural networks
Bayesian networks
logistic belief networks
self-organizing maps
generative models
kernel mixture models
optimization algorithms
gradient descent
coordinate descent
2nd-order optimization methods
natural gradient
simulated annealing
genetic and evolutionary algorithms
deep learning
MCMC sampling algorithms
Gibbs sampling
exact/perfect sampling
partition function/free energy estimation
unsupervised learning
reinforcement learning
lossless data compression
text/sequence prediction
information theory
Bayesian methods
objective Bayesian priors
maximum entropy
minimum description length (MDL)
Fisher information
computational neuroscience
brain-inspired AI
artificial curiosity


I am a researcher and software engineer focused on making machine learning simpler, more general, and more effective. Having spent many years studying a wide range of existing models and algorithms, I now work on deriving new methods from elegant theoretical principles. I enjoy writing clean code and simple APIs, designing data visualizations to gain intuition about new domains, simulating physical processes with unexpected emergent behavior, building tangible objects from humble materials, and capturing big ideas with small math. My ideal project is one that lets me be a scientist, artist, and engineer.


Verve: A General Purpose Open Source Reinforcement Learning Toolkit

Volume 1: 32nd Design Automation Conference, Parts A and B / Jan 01, 2006

Streeter, T., Oliver, J., & Sannier, A. (2006, January 1). Verve: A General Purpose Open Source Reinforcement Learning Toolkit. Volume 1: 32nd Design Automation Conference, Parts A and B. https://doi.org/10.1115/detc2006-99651

Design and implementation of general purpose reinforcement learning agents

Streeter, T. E. (n.d.). Design and implementation of general purpose reinforcement learning agents [Iowa State University]. https://doi.org/10.31274/rtd-20201107-491


Iowa State University

PhD (ABD), Machine Learning / May, 2024 (anticipated)

Ames, Iowa, United States of America

Iowa State University

MS, Reinforcement Learning, Computer Graphics / December, 2005

Ames, Iowa, United States of America

Iowa State University

BS, Computer Engineering / May, 2004

Ames, Iowa, United States of America


Brainpower Labs

Machine Learning Researcher / October, 2008Present

• Pure AI/ML research and software development. • AI research/development contract with SRAM. • Derived math results (currently 6,500 pages of notes), and designed new learning algorithms involving probabilistic graphical models, Bayesian methods, and information theory. • Built internal software tools in C/C++ and Python to aid research, including interactive visualizations of machine learning and Monte Carlo sampling algorithms. • Designed a novel brain-inspired architecture for artificial general intelligence, and implemented it in in C++ and Python with interactive debugger and test environments. • Developed commercial software to fund research agenda, including iBonsai, a meditative interactive 3D tree simulation in C++ for iOS (120k users). • Graphics engineering contract with Avatree (custom generative 3D tree growth algorithm and glTF exporter in C).

VR Applications Center, Iowa State University

AI/ML Graduate Researcher / August, 2006December, 2009

• Performed independent research on topographic maps, maximum entropy learning algorithms, Bayesian networks, reinforcement learning, and systems neuroscience. • Developed open source C++ libraries for unit testing, profiling, and parallel programming.

IBM Research

Computational Neuroscience Research Intern / May, 2006August, 2006

• Implemented a novel computational model of the cerebellum. • Demonstrated motor learning and transfer of complex reaching behaviors with a simulated 6-muscle arm. • Participated in discussions of global brain modeling and information theoretic learning rules.

Iowa State University

Teaching Assistant / January, 2006May, 2006

• Assisted teaching machine perception techniques, computer vision, image processing, and software tools (e.g. OpenCV). • Managed wiki for student code submissions.

VR Applications Center, Iowa State University

AI/ML Graduate Researcher / May, 2003December, 2005

• Performed independent research for MS thesis on reinforcement learning, artificial curiosity, planning, 3D physics simulation, and interactive real-time visualization. • Developed virtual reality software tools and applications for several funded research projects.

Center for Nondestructive Evaluation, Iowa State University

3D Graphics Research Assistant / August, 2002December, 2003

• Assisted design and implementation of 3D software for ultrasonic probe simulations used for testing e.g. jet engine and space shuttle parts. • Integrated STL file importer and octree space partitioning.

Ames National Laboratory

HPC Research Assistant / June, 2002August, 2002

• Developed general message logging software for computational chemistry and other applications on high performance computing clusters.

Links & Social Media

Join Tyler on NotedSource!
Join Now

At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.

For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.

For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.

Expert Institutions
NotedSource has experts from Stanford University
Expert institutions using NotedSource include Oxfort University
Experts from McGill have used NotedSource to share their expertise
University of Chicago experts have used NotedSource
MIT researchers have used NotedSource
Proudly trusted by
Microsoft uses NotedSource for academic partnerships
Johnson & Johnson academic research projects on NotedSource
ProQuest (Clarivate) uses NotedSource as their industry academia platform
Slamom consulting engages academics for research collaboration on NotedSource
Omnicom and OMG find academics on notedsource
Unilever research project have used NotedSource to engage academic experts