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.
Personal website: bendichter.com
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.
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.
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.
Anna (Szonja) WeiglData scientist
Szonja comes from the interdisciplinary field between computer science and neuroscience. She holds a BSc and MSc in Info-bionics Engineering, and has experience in software development. She is keen to learn about and to build reliable, scalable, and maintainable data analysis tools and pipelines. Besides working at CatalystNeuro, she is also working at the Lyon Neuroscience Research Center (CRNL) as an Engineer in a research group interested in learning and memory in the field of Cognitive Neuroscience.
Mike Scheid, PhDData Scientist
Mike holds a BE in biomedical engineering and a PhD in neuroscience. With 12 years of combined neuroscience industry and academic experience, he is interested in pushing the development of novel clinical and research technologies forward. In graduate school he demonstrated the clinical viability of local field potentials and multi-unit spiking activity as control signals for brain-machine interfaces. He also co-invented a novel neurofeedback paradigm to study cortical neurophysiology. Outside of his work at CatalystNeuro he is working at Northwell Health in NYC, using vital signals collected from wearable devices worn by ambulatory care patients in order to predict adverse events.