Our Team
brainlife.io is an open science project developed by a community of scientists and engineers.
brainlife.io is an open science project developed by a community of scientists and engineers.
The following individuals are actively contributing to the brainlife.io project.
Franco is Associate Professor of Psychology at the University of Texas, Austin. Franco holds a Ph.D. from New York University and a Laurea Summa Cum Laude from the University of Rome La Sapienza. Franco trained as a Postdoctoral Researcher at Columbia University, Stanford University and RIKEN Brain Science Institute. Franco's research spans across psychology, computer science and neuroscience. He is a Fellow of the Association for Psychological Science and Psychonomics Society and has received a Microsoft Investigator Fellowship and Janet Taylor Spence Award. Franco is working supported by the BRAIN initiaitve to advance the Brain Imaging Data Structure (BIDS) so to describe brain connectivity and network data. Franco loves running, hiking, rock climbing, mountain biking and motorcycles.
Kimberly is a Research Assistant Professor of Psychology at the University of Texas, Austin. Kim holds a PhD in Human NeuroImaging from the University of Texas Health Science Center in San Antonio. She is interested in using neuroimaging to understand the functional organization of human brain networks in healthy and diseased populations. Prior to joining the brainlife.io team, Kim completed postdocs at UC Davis and UT Austin examining functional deficits associated with mental health.
Anibal is graduate research assistant working on machine learning methods applied to neuroscience data. He joined the University of Texas at Austin in 2019 and the brainlife.io team in 2021. Anibal is currently developing methods to improve the accuracy with which we can map brain networks. Anibal has contributed to several open-source projects, such as C-PAC (https://fcp-indi.github.io/), OpenNeuro (https://openneuro.org/), and BrainBox (https://brainbox.pasteur.fr/).
Brad holds a Ph.D. in Vision Science and Neuroscience from Indiana University. His research focusses on the integration of neuroimaging data modalities and machine learning to understand concussion and human vision. Brad has used Brainlife to publish multiple datasets and has developed several data preprocessing Apps. Brad has also written tutorials that introduce how to use Brainlife and core Python Notebooks templates that demonstrate how to apply statistical methods data preprocessed on brainlife. Brad is passionate about science, sports, and civil rights.
Guio holds a PhD in Biomedical Engineering at the Universidad Politécnica de Madrid and has been a Postdoctoral Researcher both at the Montreal Neurological Institute, McGill University and Indiana University. Guio uses neuroimaging to study healthy and diseased brain states. Guio is interested in understanding brain dynamics and its underlying mechanisms using electrophysiology. Guio contributes to multiple open science initiatives, for example the Open MEG Archive (OMEGA), open software platform such as brainlife.io, Brainstorm, and Hermes and open data standards such us the Brain Imaging Data Structure (BIDS).
Dan is a Ph.D candidate at Indiana University. He is interested in using functional MRI methodologies to examine how visual salience can impact perception and decision making. Additionally, he is interested in open science and developing tools to increase transparency and reproducibility in the neuroimaging field.
Dheeraj initially came on board as an Undergraduate Research Assistant and has since transitioned to a full-time role in the lab. Since 2020, he has been an integral part of the brainlife.io team, leveraging the Microsoft Academic Graph, Azure Cloud, and contributing significantly to enhancing the user interface experience.
Nicholas is passionate about mapping out optimal workflows in order to create intuitive experiences using the latest web frameworks and libraries. He joined brainlife in 2023, and has since been working on developing new features for the platform and and refining the user experience. Outside of work Nick enjoys biking, soccer, and volleyball.
The following individuals are actively collaborating to the brainlife.io projects.
Eleanor Cox Riggs Professor, Indiana University, Psychological and Brain Sciences
Assistant Professor of Psychology and Human Development at the Peabody College of Education and Human Development, Vanderbilt University
Research Associate, Institut du Cerveau et de la Moelle épinière (ICM), Sorbone University
Directrice Scientifique du Centre MEG-EEG, Institut du Cerveau et de la Moelle Epiniere (ICM), Sorbonne Université
Senior Research Fellow, Centre for Computing and Social Responsibility (CCSR), De Montfort University Leicester, UK
Independent Legal Manager & Advisor
Head, Confederation of Laboratories for Artificial Intelligence in Europe (CLAIRE), Zürich Office
Group Lead Forschungszentrum Jülich
Neuroinformatics Lab Director FBK, University of Trento
Research Associate Professor Dartmouth College
Professor, The Ohio State University Wexner Medical Center
Director of Science Community Tools at Research Technologies, Indiana University
Many thanks to all brainlife.io Contributors!
Postdoctoral Fellow
Software Developer
Research Associate
Graduate Student
Soichi was the senior software engineer and technical lead of the brainlife.io platform. His passion is to make supercomputers easier to use by researchers and scientists. He graduated with a B.S. in computer science and physics from Henderson State University and worked for Acxiom as a software engineer providing business intelligence and analytics solutions to various fortune 500 companies such as Discover, Citigroup, Dell/EMC. He joined Indiana University in 2008 to work for the Open Science Grid and joined the brainlife.io team in 2017. Soichi is currently a Software Engineer at Acadian Asset Management. Soichi likes drawing portraits, playing guitar and cooking.
Giulia was a Postdoctoral Fellow under the guidance of Franco and holds a Ph.D. from the University of Trento. Her work focuses on the application of machine learning methods to Neuroscience data and concussion research. She is devoted to Open Science and has contributed to brainlife.io by developing Apps for neuroimaging data analysis and machine learning. Giulia enjoys the mountains, hiking, traveling, and cooking.
Sandra was the Outreach and Communication Manager for brainlife.io. Sandra transitioned to an industry position at Nordic NeuroLab after working with the brainlife.io team.
Sophia was a NSF SBE Postdoctoral Fellow working under the supervision of Franco. Sophia used brainlife.io to map white-matter microstruture to understand human development and learning. After working with the brainlife.io, Sophia took on a position of Assistant Professor of Psychology and Human Development at the Peabody College of Education and Human Development, Vanderbilt University.
Brent was a graduate student at Indiana University under the supervision of Franco Pestilli. After graduating with his PhD, Brent started as Postdoctoral Fellow at mcGill University in Montreal under the supervision of Prf. J-B. Poline. His research focussed on methods for big data neuroscience and machine learning. Brent developed several brainlife.io Apps that allow users to process raw diffusion-weighted magnetic resonance imaging, perform advanced brain tractography, and build structural brain networks. Brent loves snakes and enjoys listening to heavy metal music.
Dan was a Psychology and Neuroscience Ph.D. candidate at Indiana University. After working at University of Cincinnati, Duke University, and North Carolina State University, he joined the Pestilli Lab in 2015 focusing on methods for white matter anatomy characterization and automated segmentation. Dan has contributed multiple Apps to brainlife.io. He is passionate about student rights and an open science advocate. After working with brainlife.io, Dan joined the Laboratory of Sarah Heilbronner at the University of Minnesota as a Postdoctoral Fellow.
Aurora was Postdoctoral Fellow and Research Engineer supported by a NIH NIBIB CRCNS collabroative award. After leaving brainlife.io Aurore took a position as software engineer at BioSerenity, a Franch startup in Paris.
David developed brainlife.io Apps that allowed processing of functional neuroimaging data with application to vision science.
Josiah used brainlife.io to automate targeted white-matter characterizations in large datasets and processed on the ABCD dataset. After working on the brainlife.io team, Josiah became an Assistant Professor in the Department of Psychology at the University of Arkansas.
Ricardo joined the Pestilli Lab as an undergraduate student in 2018 with a focus on athlete TBI brain data. He focused on incorporating brainlife.io into the clinical setting and advancing the field of neuroscience by serving the military population, their families, and the nation. After working with brainlife.io, Ricardo went on to pursue medical school.
Stephanie developed content for brainlife.io newsletters, social media, and promotional materials, and engaged with the brainlife.io community members. After brainlife.io, she began working as a proposal coordinator at PND Engineers Inc.
Shiloh used brainlife.io to study how sensory information is encoded and transformed in neural circuits, and how it is used for decision making. After working with the brainlife.io team, Shiloh became a Graduate Student in the Northwestern University Interdepartmental Neuroscience Program.
After working with the brainlife.io team, Cesar became an Independent Researcher at CONICET and an Adjunct Professor at the University of Buenos Aires.
Aman was the recipient of the 2017 Jetstream REU scholarship and worked with the Jetstream cloud platform and Amazon AWS to extend service to brailife.io. After working with the brainlife.io team, Aman took a position as Software Engineer at Amazon.
Kate contributed several brainlife.io Apps related to the Human Connectome Project standard processing pipeline. After working with the brainlife.io team, she took a position as Software Engineer at Radiologics.
Lindsey implemented many of the early brainlife.io Apps as part of her research projects in the Pestilli Lab. After working with the brainlife.io team, Lindsey became a Neuroscientist in the Neuro-AI and Connectomics section of the Intelligent Systems Center at Johns Hopkins University Applied Physics Lab.
Steven joined brainlife.io as a high school student and contributed to the development of the brainlife.io platform functionality. After working with the brainlife.io team, Steve took at position as Software Engineer at PSI Services.