Week of February 9Week of February 16Week of February 23Week of March 2

Aerospace Engineering

Aerospace Engineering Seminar Series: TBA

Thursday, February 12, 2026; 3:00pm-4:00pm
028 ECoRE
Speaker: from

Hosted by: Jessica Chhan,  jmc7050@psu.edu

Electrical Engineering and Computer Science

Generative AI for High-Stakes Decision-Making with Societal Impact

Tuesday, February 10, 2026; 10:00AM
W375 Westgate Building
Speaker: Dr. Lingkai Kong from Harvard University

Lingkai Kong is a Postdoctoral Fellow at the Harvard John A. Paulson School of Engineering and Applied Sciences. He earned his Ph.D. in Computational Science and Engineering from the Georgia Institute of Technology. His research advances generative AI by integrating it with optimization and reinforcement learning to address high-stakes decision-making challenges in public health and sustainability. Dedicated to bridging theory and practice, Lingkai collaborates closely with field partners to translate algorithmic innovations into tangible social impact. His work has been published in top-tier venues such as ICML, NeurIPS, and ICLR, and he has delivered tutorials at major data science conferences like KDD. He is also a recipient of the Otto & Jenny Krauss Fellowship.

Hosted by: Emmalia Lutz,  exr123@psu.edu

A Holistic Scientific Understanding for Trustworthy AI

Thursday, February 12, 2026; 10:00AM
W375 Westgate Building
Speaker: Shichang Zhang from Harvard University

BIO

Shichang Zhang is a postdoctoral fellow at the Digital Data Design Institute at Harvard University. He earned his Ph.D. in Computer Science from the University of California, Los Angeles (UCLA), an M.S. in Statistics from Stanford University, and a B.A. in Statistics from the University of California, Berkeley (UCB). His research focuses on developing principled methods to understand and improve the trustworthiness of AI systems, with applications in high-stakes domains such as science and healthcare. His work has been published in leading venues, including NeurIPS, ICML, ICLR, ACL, WWW, and ISR, and was highlighted in a Nature News Feature for its educational impact. He delivered a comprehensive tutorial on Explainable AI at NeurIPS 2025 and has industry experience at Amazon Web Services (AWS) and Snap Research. He is a recipient of the J.P. Morgan AI Ph.D. Fellowship, the Amazon Ph.D. Fellowship, and the NeurIPS Outstanding Paper Award, and has received multiple Outstanding Reviewer Awards (ICML 2022; KDD 2023, 2025).

Hosted by: Emmalia Lutz,  exr123@psu.edu

Talking to Your Data: Building AI Co-Scientists to Accelerate Scientific Discovery

Friday, February 13, 2026; 10:00AM
W375 Westgate Building
Speaker: Tianyu Liu from Yale University

Tianyu is a PhD candidate from Yale University working on artificial intelligence (AI) and machine learning (ML) methods for accelerating scientific research. Previously, Tianyu obtained bachelor’s degrees with the highest honors from a joint program between Zhejiang University and UIUC. Having a good understanding for both machine learning concepts and biological knowledge, Tianyu has led multiple research projects based on multimodal AI Agents and Large Reasoning Models for computational biology and chemistry research. He has published several papers in the high-impacted science journals (Nature and Cell series) and ML conferences (NeurIPS, ICML, etc.). The model he designed has also been adopted by some well-known companies such as Genentech. He also served as reviewers and organizers for key conferences in this field. His research is supported by fundings from NIH, NSF, Google, and OpenAI. 

Hosted by: Emmalia Lutz,  exr123@psu.edu

Engineering Science and Mechanics

Threading the Innovation Chain: Scaling and Manufacturing Deep Tech in the United States

Wednesday, February 11, 2026; 121 Earth & Engineering Science Building
3:35-4:25 p.m.
Speaker: Melik Demirel from Engineering Science and Mechanics

Prof. Demirel, Lloyd and Dorothy Huck Chair in Biomimetic Materials, is a scientist and innovator (National Academy of Innovators-NAI member) with expertise in biotechnology, nanotechnology, and materials science. He also founded a climatech company for decarbonizing textiles (Tandem Repeat, Inc.) Over the last two decades, Professor Demirel and his research team have focused on developing functional nanoscale biomimetic materials. His team designed, fabricated, and synthesized advanced materials by studying the functional transitions of biomimetic systems, both computationally and experimentally. Prof. Demirel's achievements have been recognized, in part, through his receipt of a Young Investigator Award from the Department of Defense, an Alexander von Humboldt Fellowship, a Wyss Institute Visiting Scholar at Harvard University, an Institute for Complex Adaptive Matter Junior Fellowship, The Nicholas and Gelsa Pelick Biotechnology Innovation Award and the Pearce Development Professorship, and a Penn State Engineering Alumni Society Outstanding Research Award. Prof. Demirel received his PhD from Carnegie Mellon University, Pittsburgh, USA, and BS/MS degrees from Bogazici University, Istanbul, Turkey. Prof. Demirel is well known for his ground-breaking work on bioinspired programmable materials.

Hosted by: Lana Fulton,  lub18@psu.edu