March 23 2019, Daifeng Wang gave a talk on interpretable deep learning for understanding functional genomics in CSHL Network Biology 2019 at Cold Spring Harbor Laboratory, NY
December 14 2018, The PsychENCODE consortium publishes a series of papers in Science to reveal the functional genomics and molecular mechanisms of human brain development and mental illness. Daifeng Wang led one capstone paper using interpretable machine learning approaches to uncover functional genomics in the human brain. He also co-authored two others. See media reports including New York Times, NIH, Nature, ScienceNews,Scientific American, The Scientist, YaleNews.
December 11 2018, Daifeng Wang gave an oral presentation on functional genomics and integrative modeling for the human brain at the panel session of Larger-Scale Transcriptome and Epigenome Mappings, Modeling and Analyses in Developing and Diseased Human Brain in the annual meeting of American College of Neuropsychopharmacology (ACNP 2018) in Hollywood, FL, USA.
October 20 2018, Daifeng Wang gave a platform oral presentation on functional genomics in the human brain in American Society of Human Genetics Annual Meeting (ASHG 2018) in San Diego, CA, USA.
August 31 2018, Congratulations! Nam won the Best Poster Awardof 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) in Washington, D.C., USA. The poster title is “A Manifold Learning Based Approach to Reveal the Functional Linkages across Multiple Gene Networks: Nam Nguyen, Ian Blaby, Daifeng Wang“.
August 31 2018, Nam and Ting gave poster presentations on the 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) in Washington, D.C., USA
August 24 2018, Congratulations to Nam! He passed his Research Proficiency Examination.
Jun 11 2018, Daifeng Wang gave a selected abstract talk on comparative network analysis on epithelial to mesenchymal transition in lung cancer on International Conference on Intelligent Biology and Medicine (ICIBM 2018), Los Angeles, CA, USA
May 10 2018, Sanjeevani Choudhery gave a poster presentation on her Master’s research project, machine learning analysis reveals functional developmental and predictive gene modules associated with cortical thickness changes for Autism Spectrum Disorder (ASD) on 73rd Society of Biological Psychiatry Annual Meeting in New York City.
December 7 2017, our new paper, Comparative gene co-expression network analysis of epithelial to mesenchymal transition reveals lung cancer progression stages, is published in BMC Cancer.
Three high school students, Joshua Lee, Vineet Malhotra, William Sun gain research experience in our lab from the summer program, Computer Scienceand Informatics Research Experience (CSIRE) for K-12 students, held from July 5 – Aug 4, 2017 (Stony Brook News and Vineet’s project demo).
June 13 2017, Daifeng Wang (SBU) and Ian Blaby (BNL) are awarded the 2017 SBU-BNL Seed Grant. The funded project is Large-Scale Comparative Regulatory Network Analysis in Photosynthetic Organisms.
May 30 2017, Daifeng Wang (Biomedical Informatics) and Flaminia Talos (Urology and Pathology) are awarded the interdisciplinary research pilot grant of Stony Brook Cancer Center, School of Medicine and College of Engineering and Applied Sciences. The funded project is Identification of gene regulatory networks for direct conversion of fibroblasts into bladder epithelia.
May 22-23 2017, Daifeng Wang received a travel fellowship to present a poster on gene regulatory network in the 2nd Penn Symposium on Mathematical & Computational Biology, Philadelphia, PA
April 18 2017, Alisha Kamat presented a poster on machine learning applications in lung cancer gene expression in 2017 Gloria and Mark Snyder Annual Symposium for Cancer Medicine, Stony Brook, NY
March 10 2017, Daifeng Wang gave an invited seminar in Biology Department of Brookhaven National Laboratory, Upton, NY
January 17 2017, Daifeng Wang presented an invited talk on internal and external gene regulatory networks in the systems genomics workshop of PAG XXV, San Diego, CA
November 30 2016, Daifeng Wang gave a poster presentation on internal and external gene expression dynamics in Computational Aspects of Biological Information (CABI) 2016 at Microsoft Research New England, Cambridge, MA
October 19 2016, the new paper, DREISS: Using State-Space Models to Infer the Dynamics of Gene Expression Driven by External and Internal Regulatory Networks, is published in PLoS Computational Biology
August 1 2016, Laboratory for Informatics, Networks and Systems (LINS) is established in Department of Biomedical Informatics, Stony Brook University.
July 8-12 2016, Daifeng Wang gave two oral presentations on systems genomics and academic social networks in 2016 Intelligent Systems for Molecular Biology (ISMB), Orlando, Florida, USA. ISMB is the flagship annual conference of the International Society for Computational Biology.