About Hankyu Jang
I’m working as an Applied Scientist at Amazon in the Buyer Risk Prevention team.
I received PhD in Computer Science at the University of Iowa, advised by Dr. Segre, Dr. Pemmaraju, and closely worked with Dr. Adhikari at the Computational Epidemiology research lab. I was a member of the AlgoEpi reading group that discuss techniques from algorithms, data mining, and ML that can be applied to problems related to the spread of infections.
Industry Experience
Currently, I’m working as an Applied Scientist at Amazon in the Buyer Risk Prevention team. In summer 2023, I worked as a Machine Learning Intern at Pivot Bio. I discovered key features that affect product performance, from the feature engineering and ML modeling pipeline that I implemented, which trains 115 ML models on 672 datasets. In summer 2022, I worked as an Applied Scientist Intern at Amazon in the Buyer Risk Prevention team. I built a scalable fraud community detection pipeline by applying the state of the art techniques in graph mining. In the summer of 2021, I worked as a Machine Learning and Data Science Intern at ML team @ AmFam. I applied the graph attention network to detect suspicious data entries in the claims dataset.
PhD Research
My PhD research was in machine learning on graphs (or graph mining), such as social networks and people-to-people contact networks. Graph mining includes learning representations (e.g., node or graph level), link prediction (e.g., recommender system), node classification (e.g., predicting the onset of disease on the patient network), and information diffusion (e.g., the understanding spread of infectious disease such as COVID-19). I also have experience developing methods for submodular function optimization and applying them to detect infection sources of outbreaks - a collaborative work with Georgia Tech and University of Virginia members. Finally, I have developed agent-based simulators to propose intervention strategies to slow down the spread of target infectious diseases (COVID-19 simulator).
Extracurricular activities
In my free time, I enjoy playing musical instruments, such as classical guitar (me, playing Kleine Romanze at a concert during college: youtube). I like trying out new sports. I started indoor climing recently. I’m a runner - I run outdoors regularly, with my Garmin forerunner running watch. I run half marathons regularly.
Recently, I completed 2023 Tri-owa Indoor Triathlon 