Dimitri Yatsenko Email and Phone Number
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As CEO DataJoint, my core mission is to advance data science frameworks that enable groundbreaking collaborative research. My leadership is grounded in a deep expertise in neuroscience and a proficiency in data operations and large-scale computing, both honed through a career dedicated to technological advancements and community engagement. Our team at DataJoint is committed to delivering platforms and services that are transforming neuroscience research. With support from the NIH and collaborators at leading institutions, we have developed technological approaches that not only address the needs of the scientific community but also pave way for the integration of AI into collaborative research efforts.My career spans leadership roles in medical imaging, medical devices, neurotechnologies, software development, and systems engineering. I am happiest when I am developing a rigorous numerical approach to solve a difficult problem.
Datajoint
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Chief Science And Technology OfficerDatajoint Nov 2024 - PresentHouston, Texas, Us -
Chief Executive OfficerDatajoint Feb 2021 - Nov 2024Houston, Texas, Us -
Vp Of Research And DevelopmentDatajoint May 2020 - Feb 2021Houston, Texas, Us- Principal Investigator on NIH U24 Project "DataJoint Pipelines for Neurophysiology."- Led research and development of scientific computing frameworks and platforms.- Led business development efforts to define technological approaches, products and services to address the needs of scientific communities.- Developed partnerships with technology providers, standards and advocacy groups, and academic partners.- Defined and executed the company's intellectual property policy. - Generated grant proposals and defining new projects.- Developed communications about the company's products and services. Publishing white papers, scientific papers, articles, and educational materials. -
PresidentDatajoint Dec 2016 - May 2020Houston, Texas, Us* Co-founded Vathes LLC (which became DataJoint in 2021). Established the company governance and operations, vision and mission. * Proposed and led the implementation of the SBIR Phase I project to validate the commercialization potential of the DataJoint software framework and accompanying services for neuroscience research. Negotiated with research teams to define contracts and statements of work. * Wrote proposals and built teams for shared computational pipelines for neuroscience data analysis. -
Postdoctoral Associate - Systems And Computational NeuroscienceBaylor College Of Medicine Dec 2014 - Jan 2020Houston, Texas, Us -
Consultant - Medical Imaging / Machine LearningNview Medical Sep 2013 - Jun 2017Salt Lake City, Utah, UsContributed to NSF grant proposal and to project planning. Defined the Machine Learning framework for real-time surgical imaging and navigation: https://doi.org/10.1117/12.2293766. Developed motion correction algorithms. Consulted on x-ray dose calculations. -
Ph.D. Candidate, NeuroscienceBaylor College Of Medicine Jun 2008 - Oct 2014Houston, Texas, UsStudied functional connectivity in cortical microcircuits. Developed statistical methods for inferring the functional connectivity from recordings of neural population activity. -
R&D EngineerRipple Llc Oct 2006 - May 2008Salt Lake City, Ut, UsManaged a project to develop a wearable epileptic seizure detector. Developed a novel epilpetic seizure detector algorithm. Developed a myolectric control scheme for upper limb prosthetics.Co-authored federal research grant proposalsMediated collaborations with academic and government research partners. -
Systems EngineerGe Healthcare - Surgery Feb 2001 - Oct 2006Boston, Ma, UsLed a team of engineers in simulation and design requirement specification, verification, and validation of surgical x-ray imaging and navigation systems. This included GE OEC 9900 Elite, GE OEC 2800, GE OEC 6800.My primary focus was on automated x-ray dose management and image quality performance, image processing, image reconstruction, and workflow for varied use profiles: cardiac catheterization, electrophysiology, vascular, and orthopedic applications.Led the simulation, design specification, and design validation of an FPGA-based image processor for real-time surgical imaging. These processors and associated applications have been deployed into production and are used in hundreds of operating rooms around the world. Designed and optimized feedback-controlled x-ray exposure management subsystems, x-ray spectral filters, and adaptive x-ray beam modulation devices.Produced six patented inventions, awarded the “Best GE Healthcare Surgery Patent” award in 2004. -
Software EngineerVpi Engineering Jul 1999 - Feb 2001Developed MS Windows drivers for a 2D barcode reader to enable Internet hyperlinks in printed media. The drivers provided communication between the device (barcode reader) and Internet applications on the host.
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Software EngineerSpillman Technologies 1998 - 1999Developed public safety software applications: distributed database access, street navigation algorithms.
Dimitri Yatsenko Skills
Dimitri Yatsenko Education Details
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Baylor College Of MedicineNeuroscience -
University Of UtahComputational Engineering And Science -
Utah State UniversityComputer Science -
Utah State UniversityComputer Science
Frequently Asked Questions about Dimitri Yatsenko
What company does Dimitri Yatsenko work for?
Dimitri Yatsenko works for Datajoint
What is Dimitri Yatsenko's role at the current company?
Dimitri Yatsenko's current role is At DataJoint, I focus on data workflows in neuroscience research: data management, analysis, and sharing, unlocking the potential to transform how scientists collaborate on solving the most complex problems..
What is Dimitri Yatsenko's email address?
Dimitri Yatsenko's email address is di****@****ail.com
What schools did Dimitri Yatsenko attend?
Dimitri Yatsenko attended Baylor College Of Medicine, University Of Utah, Utah State University, Utah State University.
What are some of Dimitri Yatsenko's interests?
Dimitri Yatsenko has interest in Neural Coding, Sensory Perception, Neural Circuits, Scientific Computing, Electrophysiology, Neural Connectivity, Two Photon Microscopy, Imaging, Databases, Signal Processing.
What skills is Dimitri Yatsenko known for?
Dimitri Yatsenko has skills like Image Processing, Signal Processing, Medical Imaging, Algorithms, Software Engineering, Scientific Computing, R&d, Electrophysiology, Neuroscience, Medical Devices, Matlab, Biomedical Engineering.
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