Vy Hoang Email & Phone Number

Boston, Ma, Us

Boston, Ma, Us

Cambridge, Massachusetts

Cambridge, Massachusetts

• Served as the main liaison between the molecular translation and biological knowledge engineering teams, and greatly contributed to the development of the knowledge repository and curation interface• Led the content review for knowledge curation within the biocomputing department, provided extensive guidance for all targeted curation projects, and ran demonstrations of the curation process internally and externally• Generated scientific content based on proprietary multi-omic (transcriptomic, metabolomic and proteomic) and patient-generated health data for development of a consumer-facing digital health data platform• Validated scientific findings from biomedical publications via statistical analysis of proprietary patient data and discovered novel findings to demonstrate the utility and value of our dataset to potential investors and partners• Collaborated closely with clinical and computational biology, data science, knowledge engineering, and business development teams to ensure seamless integration of product development

Cambridge, Ma

• Developed curation guidelines and workflows (e.g. selection of relevant literature, curation, quality control) to train employees on Biological Expression Language (BEL; a triple-based language for representing causal and correlative relationships between biological entities with context), manual curation, and network building• Identified, selected, and manually curated scientific content from biomedical literature to enhance the PatientsLikeMe knowledge repository which supports the interpretation of molecular omics data• Developed molecular signatures representing biological pathways (e.g. oxidative stress) and health conditions (e.g. amyotrophic lateral sclerosis) through curation of scientific publications for application in analytic approaches and product development• Characterized molecular biological changes within an individual over time in several N-of-1 studies based on multi-omic profiling, patient-generated health data, and clinical labs to understand the effects of an intervention (e.g. fasting, vegan/paleo diet) on the individual’s health and/or to identify potential clinical risk based on detection of significant molecular outlier measurements compared to a reference population

• Identified potential molecular drivers of disease and dysregulated biological processes in chronic obstructive pulmonary disease (COPD) patient transcriptomic data using various computational biology approaches• Assessed the translatability of murine colitis models to human inflammatory bowel disease (IBD) through the identification of molecular differences and similarities between human IBD and two mouse models• Created an adverse outcome pathway (AOP) in collaboration with two companies describing how vascular endothelial oxidative stress leads to hypertension, which resulted in a publication and can be accessed by the public on the AOP Wiki website

• Identified molecular patient subtypes within asthma population based on their level of disease signaling using unsupervised clustering, and discovered potential disease-driving targets specific to asthma patient subtypes that are not fully addressed by steroid therapy using various computational biology methods and reverse causal reasoning algorithms• Built data-driven and literature-based molecular networks to represent asthma biology that can be used in combination with patient data to provide insight into biological processes active in patient subtypes and inform target discovery

• Enhanced the Selventa knowledgebase through curation of scientific findings from hundreds of peer-reviewed publications into a computable language, Biological Expression Language• Constructed disease-specific molecular models of nonalcoholic steatohepatitis (NASH), idiopathic pulmonary fibrosis (IPF) and gastric cancer, providing insight into the complex molecular pathways involved in these diseases, and created molecular networks focused on pulmonary and vascular inflammation as well as cell death and DNA damage, resulting in three published papers• Identified potential serum biomarkers for an autoimmune disease and biomarkers for response to anti-VEGF drug in gastric cancer based on characterization of active molecular mechanisms in public and proprietary patient data sets

• Responsible for individual projects where I built and explored dynamic biological models of biochemical networks (e.g. DARPP-32 regulation and GPCR activation). I used a rule-based modeling approach on Plectix’s Cellucidate platform to perform in-depth research into the mechanisms of action of these complex biological systems. • Collaborated with an interdisciplinary team of biologists, engineers and software developers during development of the Cellucidate product. I participated in feature specification, product testing and customer usage analysis. Developed an in-depth understanding of the process of delivering a product that meets customers’ needs.

Responsible for extensive scientific literature research on the mechanisms underlying the intrinsic apoptotic signaling pathway and constructed an in silico model of this pathway using a rule-based modeling approach.

Responsible for the setup and breakdown of department laboratories, maintaining inventory, and basic equipment repair.

Performed DNA sequencing of eels to examine why the number of eels are declining in a certain area