Konghao Zhao

Konghao, from Beijing, China, is a rising senior at Wake Forest University double majoring in computer science and mathematics. His research interests include building fair and accurate machine learning classifiers and clusterers using high-performance computing and multi-objective optimization. Since his freshman year, he has been working with large, high-dimensional, noisy, and biased biomedical data as part of the Wake Forest DataMine Research Group. Konghao has implemented a multi-objective genetic algorithm to cluster single-cell transcriptomics and designed an ensemble ML approach for benchmarking scRNA-seq integration methods. Additionally, he studied topics related to ML fairness; specifically, algorithmic Leave-one-out unfairness. This summer, he is excited to be working with Dr. Katia Sycara, Renos Zabounidis, Joseph Campbell, Simon Stepputtis, and Dr. Dana Hughes on improving the interpretability of Deep Neural Network by concept bottleneck model. Konghao would like to express his gratitude to Rachel Burcin and Dr. John Dolan for giving him the incredible opportunity to participate in this summer research program. He would also like to extend his appreciation to all the other RISS faculty, mentors, and sponsors.