Zeinab Jahed
@zjahed.bsky.social
Assistant Professor of Chemical and Nano Engineering at UC San Diego | Engineer 👩🏻💻 | Scientist 👩🏻🔬 | Runner 🏃🏻♀️ | Proud alumna of
@UWaterloo, @UCBerkeley, @Stanford
@UWaterloo, @UCBerkeley, @Stanford
Reposted by Zeinab Jahed
3/ Awardee @zjahed.bsky.social is searching for signs of aging in the nuclear membrane: DNA's 🧬 protective barrier. Her research could reveal key mechanisms involved in the progression of many age-related diseases.
🎉 Congrats Dr. Jahed! @jacobsschool.bsky.social
🙏 #HFScout Jeanne Stachowiak
🎉 Congrats Dr. Jahed! @jacobsschool.bsky.social
🙏 #HFScout Jeanne Stachowiak
October 16, 2025 at 4:15 PM
3/ Awardee @zjahed.bsky.social is searching for signs of aging in the nuclear membrane: DNA's 🧬 protective barrier. Her research could reveal key mechanisms involved in the progression of many age-related diseases.
🎉 Congrats Dr. Jahed! @jacobsschool.bsky.social
🙏 #HFScout Jeanne Stachowiak
🎉 Congrats Dr. Jahed! @jacobsschool.bsky.social
🙏 #HFScout Jeanne Stachowiak
Link to Paper: nature.com/articles/s41...
Read the story on our work by Liezel Labios : today.ucsd.edu/story/ai-dri...
Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings - Nature Communications
Intracellular recording involves puncturing the cell membrane to gain access to the cell. In this work, the authors introduce a puncture-free intracellular recording approach that leverages a deep lea...
nature.com
January 17, 2025 at 6:36 PM
Link to Paper: nature.com/articles/s41...
Read the story on our work by Liezel Labios : today.ucsd.edu/story/ai-dri...
including Csaba Forro, @yuqirose.bsky.social, Brenda Bloodgood, Bianxiao Cui, Francesca Santoro, YangYang, Ethan Foster, Diego Alvarez, Dhivya pushpa, Ching-Ting Tsai, and Ayush Gupta, with support from AFOSR YIP.
January 17, 2025 at 6:36 PM
including Csaba Forro, @yuqirose.bsky.social, Brenda Bloodgood, Bianxiao Cui, Francesca Santoro, YangYang, Ethan Foster, Diego Alvarez, Dhivya pushpa, Ching-Ting Tsai, and Ayush Gupta, with support from AFOSR YIP.
This work was led by our exceptional Ph.D. student,
Keivan Rahmani, and was made possible through interdisciplinary collaboration with several outstanding scientists and engineers
Keivan Rahmani, and was made possible through interdisciplinary collaboration with several outstanding scientists and engineers
January 17, 2025 at 6:36 PM
This work was led by our exceptional Ph.D. student,
Keivan Rahmani, and was made possible through interdisciplinary collaboration with several outstanding scientists and engineers
Keivan Rahmani, and was made possible through interdisciplinary collaboration with several outstanding scientists and engineers
Many drugs are withdrawn from the market due to harmful effects on the heart, jeopardizing patient safety and costing billions of dollars. Here, we introduce an approach that combines nanotechnology and physics-informed AI to enable faster, more accurate cardiac drug testing.
January 17, 2025 at 6:36 PM
Many drugs are withdrawn from the market due to harmful effects on the heart, jeopardizing patient safety and costing billions of dollars. Here, we introduce an approach that combines nanotechnology and physics-informed AI to enable faster, more accurate cardiac drug testing.