data science/analysis attribution modeling multi-touch and probabilistic attribution modeling and budget optimization. vital signs signal correlations exploring the synchrony between body temperature and HR, RR, and aortic blood pressure in viral/bacterial disease onsets with signal dynamics sigmet a python library to quantify negative price shocks in financial data (1k+ downloads). based on our paper (https://paperswithcode.com/paper/quantifying-the-effects-of-the-2008-recession) deep learning Graph-HSCN Architecture heterogeneous spectral cluster network for long-range graph tasks. submitting to major AI conference by summer. RL group testing RL-Based Sampling Schemes for Adaptive Quantitative Group Testing. hdsi scholarship 2021 best project, presented to CA Alliance for Data Science Education (UC Berkeley). long-range gnn exploration exploring and visualizing limitations of message-passing paradigm for graph neural networks. pix2pix GAN a pix2pix GAN implemented in tensorflow for generating satellite images from maps, and vise versa. details on lstm stock modeling datahacks 2021 submission. first place advanced track, only entry with a unanimous perfect score. nlp arpagen a corpus and LSTM benchmark for phoneme-based text generation.
