Our Team

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Ben Dichter, PhD

Founder

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.

GitHub: https://github.com/bendichter

Personal website: bendichter.com

Publications: https://orcid.org/0000-0001-5725-6910

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Saksham Sharda

Data Scientist
Saksham Sharda received his BE in Industrial Engineering and went on to obtain a MSc in Biomedical Engineering from Case Western Reserve University. His research work has focused on developing computational methods for Brain-Computer Interface systems to improve the quality of life of paralyzed people and helping them regain independence. Specifically, with the help of various Machine Learning and statistical methods, he helped develop an understanding of how the neurons in the human motor cortex produce dexterous finger movements and whether its possible to command the fingers to move in real-time with the power of thought alone.
In general, he is interested in developing robust computational methods to electrically interact with the nervous system for therapeutic purposes.
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Daniel Sotoude, PhD

Data 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.

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Luiz Tauffer

Data 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.

GitHub: https://github.com/luiztauffer
Linkedin: https://www.linkedin.com/in/luiz-tauffer
Blog: https://luiztauffer.github.io/guacamole-data-science/

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Cody Baker, PhD

Data 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.

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Alessio Buccino, PhD

Data 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.

Publications

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Anna (Szonja) Weigl

Data 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.

Github: https://github.com/weiglszonja
Linkedin: https://www.linkedin.com/in/weiglszonja/

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Mike Scheid, PhD

Data 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.

ourteam

Ben Dichter, PhD

Founder
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Saksham Sharda

Data Scientist
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Daniel Sotoude, PhD

Data Engineer
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Luiz Tauffer

Data Scientist
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Cody Baker, PhD

Data Scientist
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Alessio Buccino, PhD

Data Scientist
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Anna (Szonja) Weigl

Data scientist
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Mike Scheid, PhD

Data Scientist

Past Members

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Maija Honig

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Alex Song

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Kristin Quick

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Konstantinos Nasiotis

Job Openings

We believe that the future of neuroscience will be driven by collaboration between labs. Our mission is to develop channels of communication and distribution of resources between labs to enable exponential growth and innovation. As a part of this team, you will be at the forefront of this effort, shaping the way data, analysis and visualization tools are standardized and shared across the international community of systems neuroscientists. We embrace todays culture of flexibility and work-life balance, and we are flexible with location and time commitment.
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