News
10/12/2023 Our medical anomaly detection methods secure leaderboard position at MICCAI 2023 MOOD Challenge (MOOD - Medical Out-of-Distribution Analysis Challenge 2020 (dkfz.de) ). Our team is IntGeeks.
01/03/2023 Started my new job as AI research scientist/engineer at Intel Labs
11/21/2022 Successfully Defended my PhD
6/2022 Got ECE Department Dissertation Fellowship from UCSB to support my dissertation preparation
9/12/2021 My previous internship work at Genentech contributed to the talk "TOWARDS AUTOMATED IMAGING ANALYSIS: ASSESSING ACCURACY AND RELIABILITY OF LESION SEGMENTATION BY MULTIMODAL DEEP LEARNING NETWORKS IN PATIENTS WITH GEOGRAPHIC ATROPHY IN THE PROXIMA A AND PROXIMA B NATURAL HISTORY STUDIES" at EURETINA 2021
6/14/2021 Graduate Technical Internship at Intel Labs starts. I will be developing better (4D) time sequence 3D deep learning models for 4D Radar point cloud
5/3/2021 Work during my previous internship at Genentech "Analysis of Numerical Feature Extraction from Automated Geography Atrophy Segmentation" was presented at ARVO 2021
4/14/2021 Our paper "Semi supervised segmentation and graph-based tracking of 3D nuclei in time-lapse microscopy" was presented at ISBI 2021
3/17/2021 Advance to PhD Candidate