Multi-disciplinary research data scientist with 10+ years experience in research data analysis, data management, molecular modeling, predictive modeling and machine-learning on supporting cancer drug discovery, cancer genomics and personalized medicine with data-driven decision making. A self-motivated professional with excellent interdisciplinary communication skills and a creative approach to problem solving.
Stanford University, USA
2016 - Present
Leading the design, development of analytics platform and solutions to consolidate and analyze unstructured, diverse "big data" that generated by Circulating Tumor DNA (ctDNA) based liquid biopsy technology for personalized cancer treatment.
Virtual Reach Technology Ltd, Canada/USA
2015 - Present
Spearheaded the design and implementation of an automated protocol, which utilizes diverse analytics tools leading to more reliable predictive model generation, in order to help patients and doctors to make better decisions on treatment options.
University of British Columbia / BC Cancer Agency, Canada
2013 - 2015
Led bioinformatics, data analysis and project management activities across multiple collaborative research projects, in interpreting next-generation sequence data for defining mutational landscapes in various rare cancer diseases. Focused on characterization of cancer genomes for determination of pathogenic driver mutations, and gene expression analyses in cancer subtypes.
Crown Bioscience Inc. China
2011 - 2013
Led Computational Chemistry effort and applied structure-based molecular design techniques to support multiple cancer drug discovery projects in collaboration with leading pharmaceutical companies. liaised with internal project teams and outsourcing partners for project management and resource allocation
AstraZeneca R&D, Sweden
2008 - 2011
Initiated on the investigation of a novel molecular topology concept with the discovery of several new molecular descriptors, that enable a better understanding of drug-likeness, and has made a significant impact on the study of structure-property relationships in medicinal chemistry and drug design through several publications. Designed and implemented automated workflows for large-scale drug discovery data management, data mining, visualization and interpretations, ranges from the analysis of high-throughput screening data, to the prediction of adverse drug reactions to support research decision-making.
Trinity College Dublin, Ireland
2003 - 2008
Developed, published and commercialized a novel tiered Structure-Based Virtual Screening software platform for computer-aided drug discovery, that started with a proof of concept, and throughout development, implementation and validation phases.
- Bioinformatics
- Cheminformatics
- Molecular Modelling
- Drug Discovery
- Data Management
- Data Mining
- Full-stack development
- Project Management
PhD in Computational Chemistry
Research focused on the methodological developments of novel virtual screening workflow, and application of virtual library synthesis for hit-to-lead optimization in early drug discovery, that has comprised proof of concept, technology development and computational implementation.
MSc in Bioinformatics
Developed and implemented machine-learning algorithm for geometric classification of protein structure, and prediction from its amino acid sequence using Artificial Neural Networks.
For more information on some of my research projects, see my Publications page.