Chief Science And Technology Officer
Current
Nov 2024 - Present
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Dimitri Yatsenko Email & Phone Number
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.
at
DataJoint
1 work email found
@vathes.com
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✓ Verified Jul 2026
4 data sources
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Current company
Role
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.
Location
Houston, Texas, United States
Who is Dimitri Yatsenko? Overview
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Dimitri Yatsenko is listed as 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. at DataJoint, based in Houston, Texas, United States. AeroLeads shows a work email signal at vathes.com and a matched LinkedIn profile for Dimitri Yatsenko.
Dimitri Yatsenko previously worked as Chief Science and Technology Officer at Datajoint and Chief Executive Officer at Datajoint. Dimitri Yatsenko holds Ph.D., Neuroscience from Baylor College Of Medicine.
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Email format at DataJoint
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{first}@vathes.com
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Profile bio
About Dimitri Yatsenko
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.
Listed skills include Image Processing, Signal Processing, Medical Imaging, Algorithms, and 28 others.
Current workplace
Dimitri Yatsenko's current company
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11 roles · 29 years
Dimitri Yatsenko work experience
A career timeline built from the work history available for this profile.
Chief Executive Officer
Feb 2021 - Nov 2024
Vp Of Research And Development
- 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.
May 2020 - Feb 2021
President
* 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.
Dec 2016 - May 2020
Postdoctoral Associate - Systems And Computational Neuroscience
Dec 2014 - Jan 2020
Consultant - Medical Imaging / Machine Learning
Contributed 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.
Sep 2013 - Jun 2017
Ph.D. Candidate, Neuroscience
Studied functional connectivity in cortical microcircuits. Developed statistical methods for inferring the functional connectivity from recordings of neural population activity.
Jun 2008 - Oct 2014
R&D Engineer
Managed 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.
Oct 2006 - May 2008
Systems Engineer
Led 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.
Feb 2001 - Oct 2006
Software Engineer
Vpi Engineering
Developed 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.
Jul 1999 - Feb 2001
Software Engineer
Spillman Technologies
Developed public safety software applications: distributed database access, street navigation algorithms.
1998 - 1999
~1 yr
4 education records
Dimitri Yatsenko education
Ph.D., Neuroscience
Baylor College Of Medicine
M.S., Computational Engineering And Science
University Of Utah
M.S., Computer Science
Utah State University
B.S., Computer Science
Utah State University
FAQ
Frequently asked questions about Dimitri Yatsenko
Quick answers generated from the profile data available on this page.
What company does Dimitri Yatsenko work for?
Dimitri Yatsenko works for DataJoint.
What is Dimitri Yatsenko's role at DataJoint?
Dimitri Yatsenko is listed as 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. at DataJoint.
What is Dimitri Yatsenko's email address?
AeroLeads has found 1 work email signal at @vathes.com for Dimitri Yatsenko at DataJoint.
Where is Dimitri Yatsenko based?
Dimitri Yatsenko is based in Houston, Texas, United States while working with DataJoint.
What companies has Dimitri Yatsenko worked for?
Dimitri Yatsenko has worked for Datajoint, Baylor College Of Medicine, Nview Medical, Ripple Llc, and Ge Healthcare - Surgery.
How can I contact Dimitri Yatsenko?
You can use AeroLeads to view verified contact signals for Dimitri Yatsenko at DataJoint, including work email, phone, and LinkedIn data when available.
What schools did Dimitri Yatsenko attend?
Dimitri Yatsenko holds Ph.D., Neuroscience from Baylor College Of Medicine.
What skills is Dimitri Yatsenko known for?
Dimitri Yatsenko is listed with skills including Image Processing, Signal Processing, Medical Imaging, Algorithms, Software Engineering, Scientific Computing, R&D, and Electrophysiology.
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