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We are an interdisciplinary team consisting of bioinformaticians, engineers, and omics experts. We have extensive experience in designing multi-omics studies for a comprehensive analysis of analytes in biological samples. Specifically, our team specializes in designing and conducting systems biology methods for biomarker and drug discovery. Also, we have many years of experience in developing software tools and algorithms using statistical, machine learning, network-based, and fuzzy logic methods.

Dawit Mengistu.jpeg
Dawit Mengistu, PhD
Chief Executive Officer

Dr. Mengistu's research interests include bioinformatics and applications of deep learning for big data analysis. He has many years of experience in software development. He also has significant expertise in performance analysis and optimization in resource-constrained computational environments.

Habtom Ressom, PhD
Scientific Director

Dr. Ressom has many years of experience in developing workflows and computational methods for large-scale omics studies. His research interests include identification of biomarkers, aberrant pathways, and network activities in complex diseases such as cancer using omics technologies.

Mohammad R. Nezami-Ranjbar, PhD
Bioinformatics Lead

Dr. Nezami-Ranjbar has extensive experience in the design and development of computational methods for omics data analysis. This experience has provided him a broad range of skills in the genomics, metabolomics, and proteomics fields and a deep understanding of the challenges in systems biology research.

Linge Yan, MS
Software Developer

Mr. Yan holds an MS degree in Computer Science from George Washington University. He is a highly experienced software developer and an expert in JavaScript and Python.

Hongyu Ao, MS
Software Developer

Mr. Ao holds a M.Sc. of Mathematics and Statistics from Georgetown University and a B.Sc. (Hons) from the University of Toronto, is adept in software development and data science. Proficient in languages like Python and Javascript, and tools such as React and AWS.

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