Understanding Pandemic Spread and Optimizing Resource Allocation
Mathematical models and simulations to predict infectious disease spread and guide resource allocation.
31 papers5 lab members2 videos
Our lab tackles cutting-edge challenges across wide range of fields. Each project is designed to push the boundaries of science, combining deep expertise with innovative techniques to solve real-world problems. Dive into our initiatives to see how we translate ideas into solutions.
What is keeping us excited nowadays
Mathematical models and simulations to predict infectious disease spread and guide resource allocation.
31 papers5 lab members2 videos
Developing bio-mathematical models for cancer spread and treatment, and for additional diseases, using ODEs, PDEs, and simulations.
16 papers2 lab members1 video
Harnessing AI to tailor treatments to individuals and improve medical resource allocation at the community level.
19 papers12 lab members
Advancing physics-informed symbolic regression for interpretable models discovered from data.
12 papers8 lab members2 videos
Using AI to uncover patterns, behaviors, and socio-economic impacts in the formal and informal economy.
17 papers8 lab members2 videos
Leveraging biological principles and advanced analytics to evaluate scientific impact and trends.
9 papers5 lab members2 videos
Developing and applying federated learning techniques to enhance cybersecurity defenses without sharing sensitive raw data.
3 lab members
Analyzing behavioral and sensorial data to derive insights into animal health and welfare.
19 papers2 lab members1 video