• Biomedical Engineer • Neuroengineer • Scientific Data Engineer
☎️ +1 (929) 373-4633
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- Engineer with over a decade of deep expertise in development, testing and data analytics for complex biomedical systems
- Effective communicator with 10+ years of teaching interdisciplinary engineering courses at the university level and medical system use trainings to clinical personnel
- Dynamic leader with experience in managing and leading cross-disciplinary research teams across the US for grants valued at over 10 million USD
Engineering: microfabrication (cleanroom, biocompatible coating, wire-bonding), electrical circuits (reflow oven, soldering, wireless power & communication, Verilog, Mentor Graphics, microcontrollers, micromotors, sensors, Altium Designer, National Instruments, SPICE, ADC, signal generators, oscilloscopes, impedance matching), medical devices (implantable, wearable, device hermeticity testing), 2D design (AutoCAD, hand drafting, Illustrator), 3D Design (SolidWorks, Fusion 360), prototyping (3D printing, laser cutting, hand tools), fabrication (CNC, drill press, lathe, table saw), analog and digital signal processing (filtering, amplification, denoising, spectral analysis), optical design, finite element modeling (COMSOL, MatLab, MathCAD)
Biotechnology: electrophysiology (intracranial electrode arrays, EEG, EMG, ECG, OpenEphys, NeuroNexus probes), neuromodulation (electrical stimulation, optogenetics, chemical modulators), biocompatibility (biocompatible 3D printing, histology tests, device encapsulation), medical imaging (microscopy, MRI, ultrasound, IR tracking), biological microscopy (multiphoton optics, CMOS/CCD cameras, confocal), surgical techniques (brain and spinal cord implants and microinjections, catheterizations, anesthesia), biomechanics, neurobehavior
Programming Languages: Python, C++, MatLab, JAVA, Fortran 95, Pascal, Delphi, Rapid, C#, LATEX, PowerShell
February 2023
Brown University, Providence, RI
Ph.D., Biomedical EngineeringAdvisors: David Borton (Neuroengineering), Christopher Moore (Neuroscience)
Dissertation: “Multi-site and Multi-modal Imaging Methods for Studying Spinal, Brain, and Vascular Dynamics”
May 2015
Arizona State University, Tempe, AZ
M.Sc., Biomedical Engineering
Advisors: Bruce Towe (Neuroimplants, Bioinstrumentation), Claire Honeycutt (Clinical Physiology, Body Kinematics)
Thesis project: “Investigation of Ultrasonically Powered Implantable Microdevices for Wireless Tissue Impedance Measurements”
February 2013
Riga Technical University, Riga, Latvia
B.Sc., Medical Physics; Engineer Qualification, Physical Technologies in MedicineExchange studies at Norwegian University of Science and Technology, Trondheim, Norway
Thesis project: “Height Photogrammetric Measurement Method Using Wide Angle Camera Lens”
Engineering project: “Medical Gas Pipeline System for Pauls Stradins Clinical University Hospital”
2024 - 2025
Neural Interface Engineer
University of Pennsylvania, Perelman School of Medicine, Department of Neurosurgery, Philadelphia, PA
- Developed hardware and software system for visual neuroscience experiments towards restoring sight in via cortical neurostimulation in blind individuals
2015 - 2023
R&D Engineer (research)
School of Engineering, Brown University, Carney Institute for Brain Science, Providence, RI
- Developed and applied custom implantable electrochemical devices, neuromodulators and optomechanical behavior systems to collect unprecedented neurophysiological data with lower variability, lower cost, better met ethical standards, higher information content and improved value for neurovascular research
- Managed teams of over 20 teaching assistants, neurosurgeons and community volunteers, and taught 5 Engineering courses over the course of 3 years
- Supported extensions of 2 million USD grant throughout 5 renewal cycles, led neurotech workshops and led collaboration between 5 research groups throughout the US
2012 – 2017
Medical Engineer
NMS Elpa, Riga, Latvia
- Designed medical gas pneumatic and nurse call electronic communication systems, documented, selected and arranged purchases of system components to meet ISO standards
- Installed, maintained calibrated, constructed, documented, presented and prepared sales proposals for hospital medical equipment as part of the engineering team at the hospital and industry
- Collaborated with clients to maximize the fulfillment of their needs and encourage further collaboration
2013 – 2015
Bioinstrumentation Engineer
Bioinstrumentation and Human Mobility Labs, Arizona State University, Tempe, AZ
- Microfabricated and tested at the bench and in vivo implantable neural devices using electrical and electrochemical test equipment
- Analyzed body kinematics and biopotential data from human patients utilizing machine learning and statistics
- Helped to secure a 2 million USD DARPA grant, presented at 4 conferences and published 3 publications
Peer-reviewed publications:
D. Celinskis, et al. “Toward a brighter constellation: multiorgan neuroimaging of neural and vascular dynamics in the spinal cord and brain,” SPIE Neurophotonics 2023
GG Lambert, EL Crespo, J Murphy, D Boassa, S Luong, D Celinskis, et al. “CaBLAM! A high-contrast bioluminescent Ca2+ indicator derived from an engineered Oplophorus gracilirostris luciferase,” bioRxiv 2023
D. Celinskis, et al. “Miniaturized Devices for Bioluminescence Imaging in Freely Behaving Animals,” IEEE EMBC, 2020
D. Celinskis, M. Grabiner, C. Honeycutt, “Bilateral early activity in the hip flexors associated with Falls in Stroke Survivors: Preliminary evidence from laboratory-induced falls”, Clinical Neurophysiology, 2017
D. Celinskis and B. C. Towe, ”Characterization of the implantable neurostimulator-based wireless bioimpedance measurement technique,” IEEE EMBC, 2016
D. Celinskis and B. C. Towe,” Wireless impedance measurements for monitoring peripheral vascular disease,” IEEE EMBC, 2014
D. Celinskis and A. Katashev,” On criteria for wide-angle lens distortion correction for photogrammetric applications,” ISBEMP, 2012
13 conference presentations
Certifications & Awards
2023 Neurobehavior Trainership (Stanford University; top 7% applicant)
2020 – 2022 Graduate Community Fellowship (Brown University; top 13% applicant)
2020 Computational Neuroscience Certification (Neuromatch Academy)
2018 Fellowship to attend the ETH-WyssBrown ”Translational Neuroscience and Neural Engineering” workshop
2013 Fulbright scholarship award (top 5% applicant in Latvia)
2013 Golden Fund Award (Riga Technical University; top 5% of class 2013)