My research targets multimodal cell culture assay, especially cell image analysis. One aim of my thesis is to analyze cell status through visual and non-visual data. Our group has several publications using non-visual sensor data to achieve cell culture assay. And there are some preliminary results modeling cell tracking as an object detection problem.
My research focuses on high-density mixed-signal circuit design. One aim of my thesis is to maximize the density of our sensor array through customized layout integrated with Cadence Digital-on-Top Flow. This implementation will be realized through a chip using XFAB 350nm technology. Other than this project, I also have another chip taped out with TSMC 28nm technology with another high-density sensor array. This chip is currently under test in our group.
TA of 18-421/623 Analog Integrated Circuit Design (Fall 2023)
Not Deep Learning! My research also aims to employ machine learning in the real world. This includes algorithm part and implementation part. The algorithm part addresses the distribution shift between different domain, and the implementation part develop a hardware-friendly algorithm based on distributed inference or quantization. My specific focus targets the model with moderate number of parameters instead of an overparameterized model, and interested in the theoretical part of machine learning.
TA of 18-661 Intro to ML for Engineers (Fall 2021)
