Jun Dai

Jun Dai is a seasoned research scientist with extensive experience in bioinformatics and machine learning, currently working at Aitia since August 2022, focusing on target identification and validation in oncology. Previous roles include serving as a Bioinformatics Scientist at Ayass BioScience, where key contributions involved solid tumor metastasis prediction and aptamer design. Jun Dai held a position as a Research Assistant Professor at the University of Nebraska-Lincoln, leading collaborative projects and publishing multiple peer-reviewed papers. The educational background includes a PhD in Chemistry and a Bachelor's degree in Physical Chemistry, both from the University of Science and Technology of China. Notable past roles also encompass data science at Insight Data Science and postdoctoral research on 2D boron structures, contributing to advancements in material science.