2023/10/06 9:30h – Silicon chips as a deciphering platform for health and disease – Mar Cóndor

Silicon chips as a deciphering platform for health and disease

Mar Cóndor

Fecha: 06-10-2023

Hora: 9:30h

Lugar: Ed Betancourt, seminario. 2.18 (planta 2)

Mar Cóndor, PhD is Technical Project Lead for Organ-On-Chip Research at Life Sciences Technologies division in Imec (Belgium) since July 2022. In this role, she is responsible for leading both internal and external funded projects that align with Imec’s strategy for Biologic based technology development. Dr Cóndor joined Imec in July 2021 with the role as a Senior Scientist. Prior to Imec, Dr Cóndor was Senior Scientist in the Mechanobiology and Tissue Engineering group at the Biomechanics section at KU Leuven (Belgium), leading her own research as a FWO fellow, with a research focus on mechanobiology during Angiogenesis processes. During this period, she also contributed internationally to the cancer research as a Visitor Senior Scientist at Prof. Ben Fabry lab at FAU University (Germany) and Prof. Lars Holmgren lab at Karolinska Hospital (Sweden). She received her PhD. in Biomedical Engineering from University of Zaragoza and Polytechnic de Catalunya with a research focus on 3D Traction Force Microscopy and the development of 3D in-vitro systems based on Microfluidics technology. Dr Cóndor has received numerous prestigious international grants to fund her own research line, including FWO (Belgium), NAVBO (USA) and DAAD (Germany).


The world is becoming unprecedentedly connected thanks to emerging media and cloud-based technologies. The holy grail of metaverse requires recreating a remotely shared world as a digital twin of the physical planet. In this world, the human is probably the most complex mechanical, physical, and biological system. Unlike computers, it is remarkably challenging to model and engineer how humans perceive and react in a virtual environment. By leveraging computational advancements such as machine learning and biometric sensors, this talk will share some recent research on altering and optimizing the human visual and behavioral perception toward creating the ultimate metaverse.


Qi Sun is an assistant professor at New York University, Tandon School of Engineering (joint with Dept. of Computer Science and Engineering and Center for Urban Science and Progress). Before joining NYU, he was a research scientist at Adobe Research and a research intern at NVIDIA Research. He received his Ph.D. at Stony Brook University. His research interests lie in computer graphics, VR/AR, vision science, machine learning, and human-computer interaction. He is a recipient of the IEEE Virtual Reality Best Dissertation Award.