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Vasiliki Tassopoulou

Ph.D. Candidate in Bioengineering
University of Pennsylvania
vtass (at) seas.upenn.edu


About

I am a Ph.D. Candidate in Bioengineering at the University of Pennsylvania, advised by Prof. Christos Davatzikos in the AI2D: Center for AI and Data Science for Integrated Diagnostics. I’m also a member of PennSIVE (Penn Statistics in Imaging and Visualization Endeavor), where I collaborate closely with Prof. Haochang Shou. Alongside my Ph.D., I have completed an M.Sc. in Statistics and Data Science at the Wharton School, focusing on Bayesian statistics and statistical inference. My M.Sc. thesis, advised by Prof. Edgar Dobriban and by Prof. George J. Pappas, explored Conformal Prediction for Longitudinal Biomarker Trajectories. Prior to that, I completed my undergraduate studies in the field of Electrical Engineering and Computer Science at the National Technical University of Athens, under the supervision of Prof. Petros Maragos, where I conducted research on sequential learning for handwritten text recognition.

Current Availability

I am currently seeking full-time opportunities starting in late Fall 2025. I'm particularly interested in roles that leverage my expertise in machine learning, statistical modeling in applications to health or finance.

Contact

I'm open to research collaborations, industry partnerships, and discussions about research. Feel free to reach out through any of the following channels:

Email: vtass (at) seas.upenn.edu
Personal Email: tassopoulouvasiliki@gmail.com
Office: Goddard Laboratories, 6th Fl, Rm E605, 3700 Hamilton Walk, Philadelphia PA 19104
LinkedIn: vasilikitassopoulou
X: @vtassop

News

  • 🎉 March 2025: I will co-organize the WiML Social @ ICLR 2025!
  • 🎉 February 2025: I will be presenting our work on OHBM 2025! See you in Brisbane, Australia! 🇦🇺
  • 🎉 January 2025: Our paper "Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories" has been accepted as poster at ICLR 2025! See you in Singapore! 🇸🇬
  • 🎉 December 2024: I am officially a PhD Candidate!

Selected Publications

  1. Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories
    Vasiliki Tassopoulou, Haochang Shou, Christos Davatzikos
    The Thirteenth International Conference on Learning Representations (ICLR), 2025
    PDF
  2. Generative Models of MRI-Derived Neuroimaging Features and Associated Dataset of 18,000 Samples
    Sai Spandana Chintapalli, Rongguang Wang, Zhijian Yang, Vasiliki Tassopoulou, Fanyang Yu, Vishnu Bashyam, Guray Erus, Pratik Chaudhari, Haochang Shou, Christos Davatzikos
    Nature Scientific Data, 2024
    PDF BibTex
  3. Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience
    Rongguang Wang, Vishnu Bashyam, Zhijian Yang, Fanyang Yu, Vasiliki Tassopoulou, Sai Spandana Chintapalli, Ioanna Skampardoni, Lasya P. Sreepada, Dushyant Sahoo, Konstantina Nikita, Ahmed Abdulkadir, Junhao Wen, Christos Davatzikos
    NeuroImage, 269, 2023
    PDF BibTex
  4. Deep Kernel Learning with Temporal Gaussian Processes for Clinical Variable Prediction in Alzheimer's Disease
    Vasiliki Tassopoulou, Fanyang Yu, Christos Davatzikos
    Machine Learning for Health Symposium (ML4H), 2022
    PDF BibTex

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