The Wang Lab, in collaboration with Waisman Center researchers, published an important paper titled Molecular and cellular processes disrupted in the early postnatal Down syndrome prefontal cortex in the journal Science. https://www.science.org/doi/10.1126/science.aea1549 Dr. Wang, post …
Daifeng Wang
BMI Faculty Profiled in Article: AI in Advancing Medical Research
BMI faculty Daifeng Wang and Irene Ong, along with BMI affiliate faculty Majid Afshar and Pallavi Tiwari, are profiled for their research using AI to advance medical research.
D. Wang and T. Lu – New Algorithm to Advance Neurodevelopmental Research
Drs. Daifeng Wang and Tianyuan Lu, and their students, along with Wang Lab alumnus Jerome Choi, PhD, developed a new machine learning algorithm called COSIME, which was published in Nature Machine Intelligence. The manuscript is …
Daifeng Wang co-I on $9M NIH award to study Down Syndrome
Associate Professor Daifeng Wang is co-investigator on a newly awarded $9M grant to study Down Syndrome. Sigan Hartley (PI) and the team will conduct an in-depth study of factors driving the risk and severity of …
Daifeng Wang Featured in WI State Journal for Role in Down Syndrome Research
A team from the Waisman Center, which includes Anita Bhattacharyya, Su-Chun Zhange, Andre Sousa, and BMI Associate Professor Daifeng Wang, was featured in the Wisconsin State Journal for their work on Down Syndrome. The team …
Machine learning algorithm to improve estimation and integration of single-cell data
Assistant Professor Daifeng Wang, with research group members Noah Cohen Kalafut and Xiang Huang, published a paper titled “Joint variational autoencoders for multimodal imputation and embedding” in Nature Machine Intelligence on May 29. The algorithm, …
2023 Faculty Promotions
We are delighted to report the promotions of five BMI faculty members, with effective dates this summer. The promotions recognize their outstanding scholarly accomplishments and contributions to the department, university, and scholarly community. Promotions to …
Daifeng Wang – Manifold Learning Paper in Nature Computational Science
Assistant Professor Daifeng Wang, whose research focuses on manifold learning, had a paper titled “A deep manifold-regularized learning model for improving phenotype prediction from multi-modal data” published in the prestigious journal, Nature Computational Science. The …
Asst Prof Daifeng Wang awarded 5-year NIH grant to study Alzheimer’s Disease
Congratulations to Assistant Professor Daifeng Wang, who has been awarded a $1.68M, 5-year R01 grant from the National Institute on Aging entitled “Understanding the molecular mechanisms that contribute to neuropsychiatric symptoms in Alzheimer’s disease. Neuropsychiatric …