About Me
A decade plus of experience in computational scientific research and technology related fields, with a background in computational mathematics, statistical physics, and neuroscience. I have a keen focus on studying the mechanisms of the human brain, and the fundamentals of the dynamics of information. I’m currently pursuing the emerging field of neuroscience based AI models and AI-specific design for low-energy edge hardware. My aim is to create novel learning methods for spiking neural networks and physics-based models for the next generation of machine learning.
Contact Michaelt (@) oslomet.no M (@) Tarlton.info LinkedIn GitHub Twitter
PhD Candidate at Oslo Metropolitan University
Oslo Metropolitan University Oslo, Norway April 2022 – Present
PhD candidate in artificial intelligence with a focus in deep reinforcement learning for spiking neural networks project. Researching novel methods of learning for deep neural networks using time-based communication for application in low-energy edge hardware.
M.Sc Neuroscience - Norwegian University of Science and Technology
Kavli Institute – Roudi Group Trondheim, Norway August 2018 - January 2021
Thesis advisors: Dr. Yasser Roudi, Dr. Nicola Bulso Thesis: Novel Model Selection Criterion for Inference of Ising Models
Evaluated a novel information-based Bayesian criterion for network topological inference from spiking neural activity. Designed and simulated spiking networks with Ising model methods. Compared multiple network topologies for informational transfer and inferability via Bayesian methods. MATLAB environment simulation and data collection on NTNU IDUN High Performance Computing cluster
B.Sc. Physics, B.A. Mathematics - University of North Texas
Denton, Texas, USA August 2010 - May 2017 Thesis advisor: Dr. Ohad Shemmer Thesis: Prominent AGN Emission Line Contributions to Photometric Bands Certifications: Mathematics of Scientific Computation
Focus in scientific computing, information theory, statistical astrophysics. Undergradute thesis studied prominent active galactic nuclei photometric properties via statistical analysis of large sky survey data repositories.
Additional Research Experience
Genetics Data Researcher
Norwegian Centre for Mental Disorders Research, University of Oslo January 2022 – April 2022
Applied statistical genomic research using data from Genome-Wide Association Studies. Secure health data server services.
Machine Learning Data Scientist
Atlas Wearables (acquired by Peloton Interactive) December 2017 – July 2018
Researcher and data analyst for Atlas “Motion Genome” project. Applied animal biometrics and movement data for proprietary machine learning algorithms.
Research Assistant
xREZ Art + Science Lab University of North Texas December 2017 – July 2018
Publication: Experiencing a Slice of the Sky: Immersive Rendering and Sonification of Antarctic Astronomy Data Astrophysics consultant for a multidisciplinary team, together creating mixed media installations meant to convey scientific concepts. Managed astronomical object data collection, analysis, and scientific contextualization for the Instrument: One Antarctic Night installation. Handling and modeling object data using MySQL and SciPy, for streaming into a Unity environment.
Other Experience
Sr. Support Technician - ServiceLedger
Lake Dallas, Texas March 2013 – April 2016
- Full desktop and network support in a Microsoft environment
- SQL database management, XML stylesheets, report publishing, and web applications