Invited Speakers

Selected Speaker info coming soon!

Keynote Speakers

Manoj
Manoj Bhasin, Ph.D., MS - Emory University School of Medicine

Manoj Bhasin, Ph.D., MS, holds joint appointments as Acting Associate Professor in the Department of Pediatrics and in the Department of Biomedical Informatics at Emory University School of Medicine. Bhasin serves as Director of Genomics, Proteomics, Bioinformatics and Systems Biology and as Aflac Director of Single Cell Biology Program at Children's Healthcare of Atlanta. Prior to joining Emory, he was assistant professor of medicine at Harvard Medical School and co-director of Genomics, Proteomics, Bioinformatics and Systems Biology Center at Beth Israel Deaconess Medical Center.

Bhasin is a member of the Cancer Immunology research program at Winship Cancer Institute of Emory University.

Qing
Qing Nie, Ph.D. - University of California, Irvine

Chancellor’s Professor of Mathematics and Developmental & Cell Biology, affiliated with the Department of Biomedical Engineering, at the University of California, Irvine.

Director of The NSF-Simons Center for Multiscale Cell Fate Research. He works on computational systems biology, cell fates, multiscale biology, and tools for analyzing single-cell RNA-seq data, scientific computing, and computational mathematics.

Smita
Smita Krishnaswamy, Ph.D. - Yale University

Smita Krishnaswamy is an Associate professor in Genetics and Computer Science. She is affiliated with the applied math program, computational biology program, Yale Center for Biomedical Data Science and Yale Cancer Center. Her lab works on the development of machine learning techniques to analyze high dimensional high throughput biomedical data. Her focus is on unsupervised machine learning methods, specifically manifold learning and deep learning techniques for detecting structure and patterns in data. She has developed algorithms for non-linear dimensionality reduction and visualization, learning data geometry, denoising, imputation, inference of multi-granular structure, and inference of feature networks from big data. Her group has applied these techniques to many data types such as single cell RNA-sequencing, mass cytometry, electronic health record, and connectomic data from a variety of systems. Specific application areas include immunology, immunotherapy, cancer, neuroscience, developmental biology and health outcomes. Smita has a Ph.D. in Computer Science and Engineering from the University of Michigan.

 

 

 

 

Murali
T.M. Murali, Ph.D. - Virginia Tech University

T. M. Murali is a professor in the Department of Computer Science at Virginia Tech, where he is also the associate director for the Computational Tissue Engineering interdisciplinary graduate education program. Murali's research group develops phenomenological and predictive models dealing with the function, behaviour, and properties of large-scale molecular interaction networks in the cell. He received his undergraduate degree in computer science from the Indian Institute of Technology, Madras and his Sc. M. and Ph. D. degrees from Brown University. Murali is a Distinguished Scientist of the Association for Computing Machinery (ACM). His group won the best paper award at the 2012 ACM Conference on Bioinformatics, Computational Biology, and Biomedicine.