Parham Motameni

My academic work at the I School focused on applied AI and machine learning, with an emphasis on deep learning and generative modeling. I collaborated with the Lawrence Berkeley National Lab on a project that used predictive modeling for metamaterial fabrication. This work contributed to a published research paper¹ and received the Hal Varian Award² for our capstone project. In parallel, I served as a Graduate TA for W209 Data Visualization, supporting students in analytical design and modern visualization practices. Together, these experiences reflect my interest in computational modeling, visualization, and building practical systems that support scientific and technical decision making.

1. Inverse Design of Photonic Surfaces via High throughput Femtosecond Laser Processing and Tandem Neural Networks: https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.202401951
2. Hal Varian Award: https://www.ischool.berkeley.edu/projects/2022/metamaterial-ai