• Doctor of Philosophy in Biostatistics
  • University California Los Angeles, 2002
  • Masters of Science in BioMedical Engineering
  • Peking Union Medical College, 1997
  • Bachelor of Science in Information Science
  • Nankai University, 1992

David Yang Ph.D.

Principal Investigator & Sceintist

As a doctoral graduate from UCLA – Dept of Biostatistics (2002), Dr. Yang has primarily worked as a Principal Investigator in developing data & computation solutions for biostatistics, bioinformatics and health information technologies (HIT). He has developed Bayesian inferential methods to serve various needs in Evidence-Based Medicine and/or Personalized Medicine. This includes Markov-Chain Monte Carlo (MCMC) algorithms for linear regression models with missing covariates (Yang, Belin, and Boscardin, 2005) , and for incomplete longitudinal data analysis (Yang, Li, & Shoptaw, 2008; Li, Yang, & Wu, 2007; Yang et al, 2007; Yang & Shoptaw, 2005), parametric and semi-parametric hierarchical modeling methods for profiling/ranking healthcare providers (Yang et al, 2013), an integrative Bayesian variable selection (iBVS) strategy for biomarker discovery with informative priors (Peng, et al., 2013), and etc. Recently, funded by National Institutes of Health (NIH), he is leading a team at Bayessoft to develop a set of software tools for EMA (ecological momentary assessment) and PHM (Personal Health Management) over the Cloud Computing and iOS/Android platforms.

  • Doctor of Philosophy in Environmental Health Services
  • University California Berkeley, 1997
  • Bachelor of Arts in Biology
  • Kenyon College, 1988

Joseph Wiemels Ph.D.

Scientific Advisor

Joseph Wiemels is a renowned Cancer Epidemiologist conducting research on molecular and genetic epidemiology and etiology of childhood leukemia, brain cancer, adult meningioma, skin and pancreatic cancers.

He has been the Principal Investigator on several very influential research projects such as the California Childhood Leukemia Study (CCLS) and the Meningioma Consortium. Trained as a toxicologist, molecular biologist, and epidemiologist, Dr. Wiemels has intimate familiarity with all aspect of biomedical research. Currently, he is working with David Yang in developing a series of biologically-based Bayesian strategies for molecular biomarker discovery from integrated genomics, i.e., a study with multiple types of omics data (e.g., CCLS contains genetics variants, gene expression, and DNA methylation on the same set of subjects). As an experienced scientist, Dr. Wiemels assist Dr. Yang to ensure the scientific soundness of Bayessoft’s software product development and consulting services in Biostatistics and Bioinformatics.

  • Doctor of Philosophy in Bioinfomatics
  • Bejing University of Technology (Bejing, China) 2008
  • Masters of Science in Computer Science
  • Northwestern Polytechnic Univesity (Xi'an, China) 2003
  • Bachelor of Science in Chemical Science
  • Univesity of Science and Technology (Anhui Province, China) 1991

Jennifer Wang Ph.D.

Bioinfomatic Specialist

Jennifer received a B.S. in Chemical Engineering in 1991, a MS in Computer Science in 2003 and a Ph.D. in Bioinformatics in 2008. Her Ph.D. emphasis was “Pattern Recognition and Artificial Intelligence” and published her dissertation on “Analysis of Cancer Gene Expression Profile with Intelligent Computing Technology.” Her work experience has covered the private sector, governmental and academic/ medical. She was awarded a postdoctoral fellowship at the Lombardi Comprehensive Cancer Center at Georgetown University in 2009 researching genomic, transcriptomic, proteomic and metabolomics biomarker discovery in breast, prostate and liver cancers along with pathways/ network analysis and identification with machine learning and text-mining techniques. In 2013 she was employed by Hunter College School of Public Health as the Senior Bioinformatics Scientist. There she studied Bayesian Variable Selection to screen biomarker candidates from SNPs, gene expression data, pathways and networks databases. At Bayessoft she was responsible for a study regarding genetic and environmental interaction as they relate to specific diseases, gene and protein network modeling research, and Omics data modeling. Her latest endeavor has been our assisting in our new product Genetics365 which is an iPad application which assists researchers browse and visualize how single nucleotide poly morphisms (SNPs) relate to different diseases.

  • Masters of Science in Computer Science
  • Marquette University 2001

Edward Lin

Founding Partner and Application Architect

Mr. Lin obtained a Masters from Marquette University in Computer Science in 2001. He has 16 years of experience with expertise in software development, network communication and business intelligence related to data warehouse projects. He has worked as a chief developer for CIBMTR, the world’s largest Bone Marrow Transplant data collection center, and developed multiple Windows and web based data collection and processing application for CIBMTR data warehouse. He is a certified developer and network engineer for Microsoft, Sun, and Cisco and has been with Bayessoft since its conception.