My research lies at the intersection of computational chemistry, machine learning, and toxicology, focusing on the development of structural-based computational frameworks to predict and evaluate the hazard profiles of complex chemical space.
Repository storing all data used for the paper: "Taking a Swing at Uncertainty: A Neural Network Analysis of Major League Baseball Strikeout Rates"These data were derived from the following resources available in the public domain: FanGraphs
<b>Abstract:</b>Modern real estate platforms manage heterogeneous buyer populations ranging from first-time residential home buyers to institutional corporate entities and international high-net-worth investors. Traditional marketing strategies relying on broad demographic genera…
Background & Objective: Chronic sleep deprivation among adolescents has accelerated over the past three decades, aligning with widespread digital media saturation and reported cognitive focus issues. Traditional public health tracking often evaluates short‑term trends, overlo…
Jiakai You, Yinghui Zhang, Yonghong Liu, Zhongwen Hu, Jingzhe Wang, G H Wu
Leaf Area Index (LAI) serves as a key biophysical parameter for characterizing vegetation canopy structure and ecosystem functions. To address the absence of LAI products for the Fengyun-3B (FY-3B) satellite and the limitations of current satellite LAI products, this study propos…
Christopher Angell, Dianjun Chen
Record of the development of the deep learning pipeline CADENCE, capable of generating novel competitive kinase inhibitors from amino acid sequence. CADENCE was trained on the Davis dataset of kinase inhibitors and binding scores, creating a binding affinity prediction model. Thi…
This project introduces a <b>risk-conscious perception and decision framework</b> for Advanced Driver Assistance Systems (ADAS). By combining multi-view camera inputs (rear, left, and right) with YOLO object detection, the system replaces traditional fixed confidence thresholds w…