Ben Dichter, PhDFounder
Ben Dichter is the founder of CatalystNeuro. He received his Ph.D. in Bioengineering from the UC Berkeley – UCSF Joint Program in Bioengineering, in Dr. Edward Chang’s lab. There he used electrocorticography (ECoG) to study the neural control of speech in humans. Much of this work focused on how we control the pitch of our voice when we speak and sing. He is now a data scientist consultant for neuroscience labs, focusing on building systems for sharing of data and analyses.
Saksham ShardaData Scientist
Daniel Sotoude, PhDData Engineer
Daniel received his Ph.D in Electrical and Computer Engineering in 2014 from University of Western Ontario with a focus on robotics. He continued to work on probabilistic algorithms for haptic feedback for teleoperation, software development in robotics, and sensor fusion. His interests are in dynamic and statistical methods, and development of software for machine learning and data analysis in neuroscience.
Ivan SmalianchukData Scientist
Ivan Smalianchuk is currently a Ph.D. candidate at the University of Pittsburgh. His research aims to understand how the premotor cortex aids in the execution of coordinated motor tasks. Specifically, Ivan records and analyzes cortical activity and electromyography (EMG) signals during sequential head and eye movements. He utilizes statistical analyses to assess the nature of the influence premotor cortex has over these movements. Ivan’s secondary project looks at local field potential (LFP) properties in the superior colliculus during eye movements.
Robert H. MooreSoftware Engineer
For over 30 years, Robert H. Moore has solved technical challenges through R&D and custom software. His simulation software is used throughout the world to optimize paper machines and to analyze bridges. He holds 13 U.S. patents on electronic sensors and has published 30 papers in a variety of disciplines. He is interested in machine learning, signal processing, materials, structures, energy, and just about anything else that involves developing software.
His engineering BS and MS degrees are from Virginia Tech and his PhD is from Carnegie Mellon University.
Luiz TaufferData Scientist
Luiz has a BSc in Electrical Engineering, MSc in Biomedical Engineering and am currently at the late stages of his PhD in Computational Neuroscience. His research work has been focused on mathematical modelling of biological systems and behaviour, i.e. machine learning and data science applied to the life sciences. He is currently expanding my work to cover for more general machine learning / data science consultancy and software development.
Armin Najarpour ForoushaniData Scientist
Armin is a PhD Candidate in Biomedical Engineering at Polytechnique Montreal. His research is in collaboration with McGill University and involves decoding neural activities from extrastriate visual areas recorded using chronically implanted multi-electrode arrays. Specifically, Armin, analyzed Multi-unit activity (MUA) and Local Field Potentials (LFPs) recorded from V4 cortical area and determined the spatial resolution of these signals. In addition, he studied the effect of Transcranial Direct Current Stimulation (tDCS) on the decoding capabilities of higher-level cortical areas. The goal for his research is to help the development of cortical visual prosthesis.
Armin is interested in the applications of Data Science and machine learning techniques to solve economically valuable problems.
Cody Baker, PhDData Scientist
Cody earned his PhD in Applied and Computational Mathematics and Statistics (ACMS) at the University of Notre Dame while working in the Rosenbaum Group for Theoretical and Computational Neuroscience. His thesis focused on inference problems for second-order moments of activity in biological neural networks, including spike-time correlations, balance regimes, and synaptic structure. In particular, his primary interests focus on information processing and flow through biophysical neural models, which can eventually allow a thorough understanding of high-level cognitive function.
Alessio Buccino, PhDData Scientist
Alessio Buccino has a BSc and MSc in biomedical engineering and an MSc in computer science. During his PhD at the University of Oslo, he explored the use of advanced modeling techniques and engineering solution to improve the state-of-the-art methods in extracellular electrophysiology for high-density neural probes, from spike sorting to selective electrical stimulation. Alessio is the lead architect of the SpikeInterface platform. He is currently a Postdoc at ETH and he is working on combining multiple recording modalities to build accurate and better validated single neuron models.