Da Zhou is an Associate Professor at the School of
Mathematical Sciences, Xiamen University, and a Deputy Director at the National
Institute for Data Science in Health and Medicine, Xiamen University. He is
also a Director at the Department of Probability and Statistics, School of
Mathematical Sciences, Xiamen University. He received his B.S. in Probability
and Statistics at the Huazhong University of Science and Technology in 2006,
and earned his Ph.D. in Probability and Statistics at Peking University in
2011. He was a Postdoctoral Researcher at the School of Information Science and
Technology, Tsinghua University (2011–2013), an Assistant Professor at the School
of Mathematical Sciences, Xiamen University (2013–2017), and a Visiting Scientist
at the Max Planck Institute for Evolutionary Biology, Germany (2018–2019). He won
the Tian Zhaowu Prize in interdisciplinary science in 2021. His research interests
include Applied Stochastic Processes, Mathematical Biology, Computational
Biology, Machine Learning, and AI for Science.
Da Zhou is an Associate Professor at the School of
Mathematical Sciences, Xiamen University, and a Deputy Director at the National
Institute for Data Science in Health and Medicine, Xiamen University. He is
also a Director at the Department of Probability and Statistics, School of
Mathematical Sciences, Xiamen University. He received his B.S. in Probability
and Statistics at the Huazhong University of Science and Technology in 2006,
and earned his Ph.D. in Probability and Statistics at Peking University in
2011. He was a Postdoctoral Researcher at the School of Information Science and
Technology, Tsinghua University (2011–2013), an Assistant Professor at the School
of Mathematical Sciences, Xiamen University (2013–2017), and a Visiting Scientist
at the Max Planck Institute for Evolutionary Biology, Germany (2018–2019). He won
the Tian Zhaowu Prize in interdisciplinary science in 2021. His research interests
include Applied Stochastic Processes, Mathematical Biology, Computational
Biology, Machine Learning, and AI for Science.