Our Team.
We are growing, get in touch or visit our hiring page.
Dr. Mitelut is a neuroscientist working on the neuroscience of agency in non-human animal models and artificial intelligence (AI) systems. He obtained his PhD from the University of British Columbia while interning at the Allen Institute for Brain Science in Seattle (Google Scholar). His postdoctoral work was carried out at the Zuckerman Institute, Columbia University and International Brain Labs (IBL) working with Liam Paninski and Rui Costa building statistical and deep learning methods for neural data science, at NYU with Dan Sanes studying behavioral neuroethology and at University of Basel with Flavio Donato developing brain-computer-interfaces (BCIs) for studying volitional activation of neurons. Dr. Mitelut is also an previous fellow of the Forum Basiliense, a grantee of the Foresight Institute and the founder of Netholabs Inc.
​
Dr. Mitelut's research program focuses on open-field neuroethology paradigms to advance whole-brain emulation and psychiatric disorder research. He is currently researching functional (lofi) whole brain emulation (WBE) paradigms (see preprint on arXiv) and is actively engage within the WBE community.
Dr. Boyd is a versatile professional with a Ph.D. in Neuroscience from UBC and a recent diploma in Mechatronics and Robotics from BCIT, where he graduated with distinction. With a strong background in scientific programming (C/C++, Python, Java, MATLAB, Igor Pro) and electronics, Jamie specializes in automating cross-discipline solutions for research and development. He has extensive experience in advanced imaging and electrophysiological techniques, such as 2-photon microscopy and optogenetics, and has programmed microcontrollers and Raspberry Pi for custom data acquisition and analysis. Jamie's practical skills include building and troubleshooting analog and digital circuits. He spent over 15 years at UBC as a Research Assistant, designing and programming apparatus for data acquisition, training students and postdocs, and analyzing sensory cortex functions. He is now seeking new challenges in a research and development setting, aiming to leverage his combined scientific and technical expertise.
Dr. Boyd is advising Netholabs on our electronics and robotics platforms.
Diane Hazlehurst has worked in the laboratory animal science field in the UK for more than 33 years holding many different roles, including facility management and named persons under the Animals (Scientific Procedures) Act 1986.
Diane Is working with and advising on the setting up of the laboratory and our studies.
Jana is an Operations Specialist at Effective Ventures where she has been contributing since November 2022. She has played a pivotal role in managing global payroll, overseeing benefits administration, and ensuring compliance across multiple countries. Previously, Jana served as Landesvorsitzende for Volt Deutschland's Hessen chapter, leading a team of over 420 members and strategizing for regional elections. Her experience includes HR consulting at Merck KGaA and community leadership roles in Volt Deutschland, where she facilitated cooperation between parliamentary groups and managed local campaign strategies. Jana holds a Bachelor of Arts in Interactive Media Design from Hochschule Darmstadt, reflecting her strong academic background.
Jana is advising Netholabs on our operations in the EU, specifically in Germany.
Daniel Burger is a multifaceted software engineer specializing in neuroinformatics at the Blue Brain Project, AI applications on brain organoids at FinalSpark, and applied neuroscience at King’s College London. With a passion for clean code and lean architectures, he thrives in technologically diverse environments. His professional interests extend to alternative computing paradigms, including quantum, cognitive, and spatial computing. Daniel's interdisciplinary expertise underscores his dedication to advancing neuroinformatics and applied neuroscience. For more about his work, visit his website.
Daniel is advising Netholabs on our computational neuroscience methods and developing foundation models for whole-brain-emulation.
Dr. Federico Bolanos is a Lead Data Scientist with over eight years of experience in machine learning, computer vision, data analysis, experimental design, and cloud computing. He holds a PhD in Information Science and Technology from The University of Tokyo, a Master's in Neuroscience, and a Bachelor's in Integrated Sciences from the University of British Columbia. Currently, he is leveraging his multidisciplinary expertise at UBC, guiding neuroscience research through advanced data analysis and machine learning techniques. His technical proficiencies include PyTorch, TensorFlow, OpenCV, Python, R, AWS, Docker, and Linux. Federico is passionate about solving complex problems and is actively seeking opportunities in the Vancouver area to further his contributions to the field.
Dr. Bolanos is advising Netholabs on our robotics and mechatronics systems integration.
Dr. de Vicente Donderis is a medical doctor with training in Valencia, Spain. Early in his academic journey, he developed a passion for fundamental biological questions and during his early clinical training became interested in addressing shortcomings in existing treatments for neurological and psychiatric conditions. He pursued additional training in basic neuroscience at the University of Basel, the Technical University of Dresden, and the University of Valencia. He is currently completing his neuroscience training as a Boehringer Ingelheim PhD Fellow in the Luthi Lab @ FMI. His research focuses on the exchange of information between the amygdala and the prefrontal cortex, examining its influence on decision-making with a goal of understanding of brain disorders and devising precise interventions to rehabilitate normal brain functions.
Dr. de Vicente Donderis is advising Netholabs on rodent disease models and translational research.
Dr. Sanes is a distinguished NYU professor with a PhD in Biology from Princeton University, followed by postdoctoral fellowships at Yale and the University of Virginia. He co-authored the textbook "Development of the Nervous System," served on the National Deafness and Other Communication Disorders Advisory Council, was a Senior Editor at the Journal of Neuroscience, and became a Fellow of the American Association for the Advancement of Science in 2010. His NIH-funded research explores how auditory experience, such as social learning and hearing loss, affects central nervous system maturation. Sanes' lab @ NYU studies neural mechanisms underpinning the development of perceptual and cognitive skills, using wireless recordings from auditory cortex to investigate auditory perception and learning. His research also delves into how early hearing loss impacts sensory processing and skill acquisition, with a focus on rescuing synaptic deficits to restore normal auditory functions. His work has significant implications for understanding and treating auditory processing disorders.
Dr. Sanes is advising Netholabs on ethology and development components of our research.
Zan is a 2024 Foresight Institute Fellow in Neurotechnology, focused on exploring neurologically inspired modularity to scale deep neural networks, aiming to reduce parameter space, increase interpretability, and create self-similar task divisions akin to the brain. He co-founded Myelin Neurotech, a nonprofit dedicated to innovative neurotechnology research that challenges traditional academic and startup models, fostering a collaborative environment for groundbreaking projects like non-invasive EEG prototypes and next-gen brain stimulation technology. Additionally, Zan is an Emergent Ventures Fellow at the Mercatus Center, recognizing his contributions to neurotechnology, and a researcher at the University of Michigan's Biomedical Engineering department. His interdisciplinary interests span alternative computational models for AI, mass social patterns, chaotic/emergent systems, and linguistics.
Zan is advising Netholabs on computational modularity approaches to whole-brain-emulation.
Dr. Swindale is a Professor in the Department of Ophthalmology and Visual Sciences at the University of British Columbia, where he studies the brain using computational and experimental methods. His research focuses on brain maps and their development, as well as nerve cell communication via action potentials in the adult brain. Dr. Swindale teaches several courses and his most recent publications include studies on voltage distributions in extracellular brain recordings and the phase-locking of visual cortex neurons to LFP oscillations.
Dr. Swindale is advising us on neural data science and our hyper-unit isolation protocol.