software engineer, computational biologist + researcher
software engineer interested in building scalable software and ML applications.
computational biology and design for learning at carnegie mellon university.
see my projectsprojects
research projects
Exploration of Fragmentomics for Monitoring Progression in Neurofibromatosis Patients
Daphne Han, Justin Wong, Sharon M. Landers, Angela Bhalla, Jian Gu, Keila Torres, Paul Scheet
CPRIT CURE 2023, MD Anderson Cancer Center
HAT: Head-Worn Assistive Teleoperation of Mobile Manipulators
Akhil Padmanabha*, Qin Wang*, Daphne Han, Jashkumar Diyora, Kriti Kacker, Hamza Khalid, Liang-Jung Chen, Carmel Majidi, Zackory Erickson
IEEE International Conference on Robotics and Automation (ICRA) 2023
Pairwise Comparative Analysis of Several Haplotype Assembly Algorithms
Shuying Sun, Flora Cheng, Daphne Han, Sarah Wei, Alice Zhong, Sherwin Massoudian, Alison B. Johnson
about me
hi, i'm daphne
I recently completed my Bachelor's and Accelerated Master's degree in Computational Biology at Carnegie Mellon University's School of Computer Science with a minor in IDeATe: Design for Learning .
I worked as a graduate researcher in the Ma Lab for my thesis where I focused on developing a graph-based autoencoder for integrating spatial transcriptomics data. I previously worked as a research intern in the Scheet Lab at MD Anderson Cancer Center, studying fragmentomics as a biomarker for early cancer detection. I developed a hybrid physics-based machine learning pipeline for protein-protein interaction residue predictions for Zymo. At school, I worked as a lead teaching assistant for 15-112 Fundamentals of Programming and Computer Science and I previously served as the Student Government Director of Organizations. I also worked as a web designer for Programming For Lovers.
In my free time, I like to go urban sketching and draw, make things with clay, make coffee, and go on runs.
Email / Google Scholar / LinkedIn/ Resume
Photo by Suanna Zhong