Presentations

ICERM workshop (Fostering Cross-Disciplinary Collaboration in Biology, Medicine, and Computational Science) at Brown University, Providence, RI

• (Poster) Topological Deep Learning for peptide-protein complex prediction

AI4Chemistry Summit at New York University, NY

• (Contributed Talk) Topological Deep Learning for RNA, Protein Interactions, and COVID-19 Variant Prediction

SIAM SEAS 2025 at University of Tennessee Knoxville, TN

• (Invited Talk) Topological Deep Learning for RNA, Protein Interactions, and COVID-19 Variant Prediction

2025 Joint Mathematics Meetings (JMM25)

• (Contributed Talk) Computational Topology-Driven Machine Learning Models for Protein-Protein Binding Free Energy and RNA-like Structure Predictions

2024 SIAM Conference on Mathematics of Data Science (MDS24)

• (Poster) Exploring the Power of Persistent Spectral Graphs in COVID-19 Research

2024 SIAM Conference on Mathematics of Data Science (MDS24)

• (Invited Talk) Math Meets AI: Leveraging Computational Topology and AI Models to Advance COVID-19 Research

2024 SIAM Annual Meeting (AN24)

• (Invited Talk) Computational Topology & Machine Learning: Discovering SARS-CoV-2 Evolution and Transmission

2024 SIAM Conference on the Life Sciences (LS24)

• (Invited Talk) Prediction of Mutation-Induced Protein-Protein Binding Free Energy Changes Based on Computational Topology and Machine Learning

AI for Scientific Research, NYC Metro Area AI Meets Science Conference @ New York University

• (Poster) How Math and AI are Revolutionizing Biosciences

Learning Meets Geometry, Graphs, and Networks @ LoG Conference, New York Meetups

• (Poster) Exploring the Power of Persistent Spectral Graphs in COVID-19 Research

Women in Scientific Computing on Complex Physical and Biological Systems @ UF (University of Florida)

• (Invited Talk) Applications of Persistent Spectral Graphs in COVID-19

2022 Applied Topology in Frontier Sciences on Applied, Combinatorial and Toric Topology @ NUS (National University of Singapore)

• (Invited Talk) Persistent Laplacian and its applications in SARS-CoV-2

2022 SIAM Conference on the Life Sciences (LS22)

• (Invited Talk) Persistent Spectral Graphs and COVID-19 Related Research

Mathematical Molecular Bioscience and Biophysics (MMBB) Webinar

• (Invited Talk) Evolution mechanism of SARS-CoV-2 evolution

Second Graduate Student Conference: Geometry and Topology meet Data Analysis and Machine Learning (GTDAML2021)

• (Student talk) Persistent spectral graphs

Math Department Seminar, Pennsylvania State University, PA

• (Invited Talk by Prof. Wenrui Hao) Topological Deep Learning for COVID-19 variants prediction, RNA motif design, and DockQ prediction

Math Department Seminar, University of Arkansas, AK

• (Invited Talk by Prof. Jiahui Chen) Topological Deep Learning for COVID-19 variants prediction, RNA motif design, and DockQ prediction

Data Sciences - Applied Math (IDA) Seminar, Colorado State University

• (Invited Talk by Prof. Yongcheng Zhou) Topological deep learning for COVID-19 variants prediction, RNA motif design, and DockQ prediction

Applied Math Seminar @ GWU (The George Washington University)

• (Invited talk) Applications of Persistent Spectral Graphs in COVID-19

Computational Biology Forum @ MSU

• (Student talk) Emerging vaccine-breakthrough SARS-CoV-2 variants

Computational Topology/Graph/Geometry Seminar @ MSU

• (Student talk) Persistent spectral graphs and COVID-19 related research

Topological Data Analysis Seminar @ MSU

• (Student talk) Persistent spectral graphs

Scientific Computing meets Machine Learning and Life Sciences Seminar @ TTU

• (Poster) Graph neural network for protein-ligand predictions

SIAM Conference on Mathematics of Data Science (MDS24)

• Mini-symposium title: Exploring the Intersection of Topological and Geometric Data Analysis with Biological Applications

Mathematical Molecular Biosciences Online Seminar

Mathematical Molecular Biosciences Online Seminar

2022 SIAM Great Lakes Section Annual Meeting (GLSIAM)

• Mini-symposium titled 'Mathematical Analysis of Bio-molecular Data'