NOVEMBER 13–16, 2017, Kansas City, MO, USA

2017 International Workshop on Translational Bioinformatics in Precision Medicine

Emergence of high-throughput genomics assays has brought about unprecedented opportunities to make a transition from cohort-based medicine to precision medicine enabling provision of more accurate care at an individual level. Bioinformatics tools play crucial roles in decoding large-scale omics data to gaining in depth intuition into the underlying molecular mechanisms contributing to the development of human diseases. However, beside generating sufficient data, several challenges must be overcome to further the concept of precision medicine in various aspects from data storage to analytical approaches, in order to elucidate the hidden knowledge in such massive datasets.

This workshop will provide a vibrant forum for scientists with diverse backgrounds to exchange their ideas and discuss the latest discoveries in translational bioinformatics and precision medicine. The research topics of the workshop include, but are not limited to:

  • Novel computational platforms, machine learning techniques, and decision support tools,
  • High-throughput data integration methods and applications in precision medicine,
  • Biomarker discovery and mechanistic understanding of disease etiology,
  • Precision medicine in drug discovery and development,
  • Pharmacogenomics,
  • Integrated computational approaches bridging genomics data and clinical health records,
  • Network medicine applied to precision medicine,
  • Large-scale data analysis for prognostic and diagnostic purposes,
  • Biological network analysis.

Program Chair

Abolfazl Doostparast, PhD.

Kai Wang, PhD.

Program Committee

Abolfazl Doostparast, PhD

Dr. Abolfazl Doostparast is an Associate Research Scientist at Institute for Genomic Medicine (IGM), Columbia University. He is a former postdoctoral researcher in computer science at University of California Santa Barbara (UCSB)-Harvard University. His current research interests include: drug repositioning using high-throughput sequencing data, network deconvolution algorithms to underlie master regulators in transcriptional circuits in neuropsychiatric disorders such as Schizophrenia and Post Traumatic Stress Disorder (PTSD).

Kai Wang, PhD

Dr. Kai Wang is an associate professor of biomedical informatics at Columbia University with affiliation to Institute for Genomic Medicine (IGM) at the same institution. Prior to joining Columbia University, he was an associate professor of psychiatry at University of Southern California (USC). Dr. Wang's webpage can be accessed here.

Yufeng Shen, PhD

Dr. Yufeng Shen is assistant professor in the Department of Systems Biology and Associate Director of Columbia Genome Center. He earned his PhD in computational biology at the Human Genome Sequencing Center at Baylor College of Medicine. He completed a postdoctoral fellowship in computational genomics and genetics of adverse drug reactions at Columbia University. His research interests include developing and applying computational methods to study human genetics and diseases. Dr. Shen's webpage can be accessed here.

Bernie Daigle Jr., PhD

Dr. Bernie Daigle Jr. is an assistant professor of biological sciences and computer science at University of Memphis.He was a postdoctoral researcher of computer science at University of California Santa Barbara (UCSB) and holds a PhD in genetics from Stanford University. His research interests include: genomic data integration, bioinformatics, and computational systems biology. Dr. Daigle's webpage can be accessed here.

Yongtao Guan, PhD

Dr. Yongtao Guan is an assistant professor of Molecular and Human Genetics at Baylor College of Medicine. Dr. Guan is a statistical geneticist specialized in developing statistical and computational methods to analyze genetic and genomic data. Dr. Guan's webpage can be accessed here.


- Sep. 20, 2017: Due date for full workshop papers submission

- Oct. 10, 2017: Notification of paper acceptance to authors

- Oct. 25, 2017: Camera-ready of accepted papers

- Nov. 13-16, 2017: Conference


- Click here for submission.

Accepted Papers