Area of research
Molecular Biology · Statistical and Nonlinear Physics
Research interest
Research interests include Gene Regulatory Network Analysis, TGF-β signaling in diseases, Advanced Thermodynamics and Statistical Mechanics, and stochastic dynamics and bifurcation.
scPerturb: harmonized single-cell perturbation data
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Potential Molecular Mechanisms of Recurrent and Progressive Meningiomas: A Review of the Latest Literature
Unsupervised and supervised learning with neural network for human transcriptome analysis and cancer diagnosis
Collaborative Research: CS2: Formally Verified and Performance-Optimized Tensor Contraction Sequences in Quantum Many-Body Computations
Collaborative Research: SHF: Small: HexAI: Holistic Exploration for Design Automation of Efficient AI Accelerators
CAREER: SHF: Chimp: Algorithm-Hardware-Automation Co-Design Exploration of Real-Time Energy-Efficient Motion Planning
Collaborative Research: SHF: Medium: TensorNN: An Algorithm and Hardware Co-design Framework for On-device Deep Neural Network Learning using Low-rank Tensors
AitF: Collaborative Research: A Framework of Simultaneous Acceleration and Storage Reduction on Deep Neural Networks Using Structured Matrices
SHF: Small: Collaborative Research: LDPD-Net: A Framework for Accelerated Architectures for Low-Density Permuted-Diagonal Deep Neural Networks
SHF: Small: Collaborative Research: LDPD-Net: A Framework for Accelerated Architectures for Low-Density Permuted-Diagonal Deep Neural Networks
AitF: Collaborative Research: A Framework of Simultaneous Acceleration and Storage Reduction on Deep Neural Networks Using Structured Matrices
SFS: Preparing Crosscutting Cybersecurity Scholars