Eric He

• Conducting theoretical and experimental research on bipartite graph alignment under Prof. Daniel Cullina (Penn State) • Designing and evaluating various modified alignment algorithms including percolation, spectral methods, and GNNs

• Focus on advancing the field of adversarial attacks against online multi-armed bandits • Investigating novel methodologies and realistic implementations of robust attack algorithms against linear contextual and stochastic bandits within recommender systems

• Implementing neural networks in parallel with Monte Carlo Tree Search to solve complex object retrieval tasks in robotics. • Advancing push and grasp prediction networks to achieve retrieval in continuous motion • Improving efficiency by enhancing the robustness of segmentation models in computer vision

• Developed an App integrating the dynamic group distribution function into MS exchanges using Java, Powershell and C-Sharp to create a more efficient communication system for the company • Independently conducted lab experiments demonstrating enhanced cytotoxicity of NK cells against multiple cancers in combination with the immune checkpoint inhibitors • Led to publication accepted by Society for Immunotherapy of Cancer (SITC) 2022 Annual Conference and patent application to USPTO

GPA: 4.2/4.3

Graduated top 2% out of 658 students