Ph.D. Candidate of Computer Science
Arizona State University
Principal Investigator
Dr. Ross Maciejewski
Research Laboratory
VADER Lab
Research Interests
Big Data, Scientific Machine Learning, Deep Learning, Interactive Machine Learning, AI for Science, Topological Data Analysis and Visual Analytics.
Contact:
School of Computing and Augmented Intelligence
Arizona State University
342DB, 699 S. Mill Avenue
Tempe, AZ 85281
Hosted on GitHub Pages — Theme by orderedlist
Our paper "Greater than the Sum of its LUTs: Scaling Up LUT-based Neural Networks with AmigoLUT" was officially accepted by ACM/SIGDA FPGA 2025 as a research paper.
Our paper "LossLens: Diagnostics for Machine Learning Models through Loss Landscape Visual Analytics" was officially accepted by IEEE Computer Graphics and Applications as a research paper.
I successfully completed my Ph.D. comprehensive examination.
Our paper "Visualizing Loss Functions as Topological Landscape Profiles" was officially accepted by NeurIPS 2024 Workshop on Symmetry and Geometry in Neural Representations (NeurReps) as a proceedings paper (PMLR volume) with an oral presentation.
Our paper "Evaluating Loss Landscapes from a Topology Perspective" was officially accepted by NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning (SciForDL) as a poster.
I returned to Machine Learning & Analytics Group at Lawrence Berkeley National Lab for summer internship, supervised by Dr. Michael W. Mahoney and Dr. Gunther H. Weber in May 2024.
I joined Machine Learning & Analytics Group at Lawrence Berkeley National Lab for summer internship, supervised by Dr. Michael W. Mahoney and Dr. Gunther H. Weber in May 2023.
I received an Engineering Graduate Fellowship from School of Computing and Augmented Intelligence at the Arizona State University in March 2023.
I joined VADER Lab working with Dr. Ross Maciejewski in August 2022.
I worked with Dr. Alexandre Eichenberger and Dr. Gong Su on ONNX-MLIR in Summer 2022.
Our paper "Serving Deep Learning Models with Deduplication from Relational Databases" was officially accepted by ACM VLDB 2022 as a research paper.
I joined CACTUS Data Intensive Systems Lab working with Dr. Jia Zou in January 2021.
I joined Arizona State University as a Ph. D. student in January 2021.
I accepted the Ph. D. offer from School of Computing and Augmented Intelligence at the Arizona State University majoring in Computer Science in December 2020.
I got my M.S. in Computer Science from University of California, Riverside in March 2020.
I joined Big Data Lab working with Dr. Ahmed Eldawy on UCR-STAR in January 2019.
I accepted the M.S. offer from University of California, Riverside majoring in Computer Science in June 2018.