Hey!
My name is Eloy Geenjaar and I am an Electrical Engineering & Computer Engineering Ph.D. student and CNTP scholar at the Georgia Institute of Technology under the supervision of Prof. Vince Calhoun at the TReNDS center.
My research focuses on multimodal fusion and spatio-temporal representation learning for neuroimaging data with probabilistic generative models. My goal is to get a better understanding of high-level brain dynamics and its effects on psychiatric disorders.
Email: geenjaareloy at gmail.com
Research
- Neurodevelopmental Trajectories in Children With Internalizing, Externalizing and Emotion Dysregulation Symptoms Elisabet Blok*, Eloy Geenjaar*, Eloise Geenjaar*, Vince Calhoun, and Tonya White
- Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures Eloy Geenjaar*, Tonya White, and Vince Calhoun
- Fusing multimodal neuroimaging data with a variational autoencoder Eloy Geenjaar*, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey Plis, and Vince Calhoun
- Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI data Alex Fedorov*, Eloy Geenjaar, Lei Wu, Thomas P. DeRamus, Vince D. Calhoun, and Sergey M. Plis
- Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease Alex Fedorov*, Tristan Sylvain, Eloy Geenjaar, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, and Sergey M. Plis
- Environment-Wide Association Study (EnWAS) of Prenatal and Perinatal Factors Associated With Autistic Traits: A Population-Based Study Masoud Amiri*, Sander Lamballais, Eloy Geenjaar, Laura M. E. Blanken, Hanan El Marroun, Henning Tiemeier, and Tonya White
2021
2021
2021
2021
2020
2020, Autism Research
Background
I started my Bachelor's degree in Industrial Design Engineering at the Delft University of Technology in 2014. During my minor at the Erasmus Medical Center in Rotterdam, I started working with Dr. White. Under Dr. White's supervision, I started to develop an interest in neuroimaging research and decided to pursue a double Master's degree in Biomedical Engineering and Embedded Systems.
Interests
Two of my main interests are gastronomy and vinology. With gastronomy, I am referring to the broadest definition of the word, from Southern barbeque to haute cuisine and from Indian to Dutch food. I enjoy going out of my way to try traditional or fusion cuisines and explore a piece of food culture from places around the world. In terms of wine, I have been awarded two wine degrees, SDEN 3 and WSET 3, but do not shy away from supermarket wine. I like teaching family, friends, and acquaintances about the history behind regional wines and help them distinguish flavors in a wine. Every wine was made with a purpose and there are always flavor profiles or characteristics to explore.
Books I have recently read or am reading that I enjoyed (in no particular order)
- Human kind: A Hopeful History by Rutger Bregman
- Chaos: Making a New Science by James Gleick
- The procedure by Harry Mulisch
- The Art of Doing Science and Engineering: Learning to learn by Richard Hamming
- Normal people by Sally Rooney
Courses, lectures, or talks I found especially inspiring or interesting (in no particular order)
- Information theory pattern recognition and neural networks by David Mackay at Cambridge University
- Deep Unsupervised Learning by Pietter Abbeel at UC Berkeley
- Principles of fMRI by Martin Lindquist and Tor Wager at Johns Hopkins University
- Computational Models of the Neocortex by Thomas Dean at Stanford University
- Thousand Brains Theory of Intelligence by Jeff Hawkins on the Lex Fridman Podcast
- Vicarious Robot AI by Dileep George on the Brain Inspired podcast
- Artificial Consciousness and the Nature of Reality by Joscha Bach on the Lex Fridman Podcast
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