BMIR Staff

Research Scientist

Alison Callahan is a research scientist in the Center for Biomedical Informatics and a member of the Shah Lab. Her work involves research and development of informatics methods for the analysis of biomedical and clinical data, to derive insights and support data-driven decision making by clinicians and patients.

Research Interests: Electronic medical records, data science, machine learning, observational data analysis, clinical decision support

Research Biostatistician

My research focuses on establishing novel strategies to assess and improve quality of health care delivery system with data science techniques using patient reported outcomes (PROs) and Electronic Health Records (EHRs).

Research Interests: Electronic Health Records (EHRs), Biomedical Informatics, Patient Reported Outcomes (PROs), Machine learning, Deep learning, Natural Language Processing (NLP)

Bioinformatics Scientist

Software Engineer

Michael is a highly skilled software architect with over 20 years of experience designing and developing complex applications. As the Chief Software Architect for the National Center for Biomedical Ontology (NCBO), Michael oversees BioPortal, a set of online solutions enabling biomedical researchers to work with disparate ontological resources.

Research Interests: Ontologies, Big Data, Scalable Architecture

Research Scientist

Obtaining large-scale, expert-labeled training data is a significant challenge in medicine, making it difficult to take advantage of state-of-the-art machine learning tools. My research explores weakly supervised machine learning, where expert rules, knowledge bases, and other noisy label sources are combined to automatically create training data.

Research Interests: weak supervision, natural language processing, medical imaging

Technical Program Manager

I provide project management, coordination, and outreach for the CEDAR and BioPortal projects. I offer technical support for product management and systems architecture, and I support operations, financial analysis, and fundraising roles as needed.

Research Interests: Creating new solutions for metadata and semantic challenges: Informatics, Interoperability.

Software Engineer

Josef Hardi, a seasoned software engineer who has been expanding what is possible with code in order to make life more efficient and he joined Musen Lab to fulfill that vision. Josef has been in the software development business for over ten years in a niche area called the Semantic Web and Knowledge Representation. Josef converts caffeine to code.

Research Interests: Semantic Web, Graph Database, Code Optimization, Blockchain

Software Engineer

Software Engineer

Research Interests: Artificial Intelligence, Semantic Technology, Ontology Engineering, Metadata, Knowledge Graphs

Research Scientist

Experienced Senior Clinical Scientist with a demonstrated history of working in Academia. Skilled in Health Informatics, Artificial Intelligence and, Natural Language Processing.

Research Interests: Clinical Natural Language Processing, AI in Medicine, Observational Studies, EHR Data Quality

Information Systems Analyst

Software Engineer

Jennifer is a senior software engineer with 20 years work experience on open source projects for building, visualizing, and interacting with ontologies. Outside of work, she enjoys lap swimming with the Stanford Masters team.

Postdoctoral Scholar – Khatri Lab

Postdoctoral Scholar – Gentles Lab

Research Interests: Computational biology, bioinformatics, cancer, immunity

Postdoctoral Scholar – Gevaert Lab

Research Interests: Clinical information extraction, natural language processing, machine learning

Postdoctoral Scholar – Khatri Lab

Postdoctoral Scholar – Khatri Lab

I am a New York native and have lived in Miami, Philadelphia, and LA. My love for pediatric critical care medicine brought me to Stanford, where I completed my clinical training in 2019. I have since started a postdoc as a Chan Zuckerberg Biohub Physician-Scientist Scholar in the Khatri Lab while practicing medicine as a Pediatric Intensivist.

Research Interests: Computational integration of heterogeneous clinical and transcriptomic data to decipher the host response's role in life-threatening manifestations of immune dysregulation in critical illness.

Postdoctoral Scholar – Gevaert Lab

I obtained a Ph.D in Electrical Engineering at the University of Maryland, College Park in 2016. I was a postdoctoral researcher in the Electrical Engineering department at Stanford with Prof. Weissman and Prof. Ozgur in 2017. Since January 2018, I have been working with Prof. Olivier Gevaert at BMIR in the Stanford School of Medicine.

Research Interests: Machine learning, medical imaging, electronic health records, statistics, information theory

Postdoctoral Scholar –  Gevaert Lab

I am a post-doctoral BD-STEP fellow at the Stanford Center for Biomedical Informatics Research (BMIR) and the Palo Alto VA working with both Dr. Olivier Gevaert and Dr. Rajesh Shah. While my PhD research focus was in genomics, my post-doctoral research focus is in radiomics, and I, ultimately, want to combine both radiomics and genomics.

Interests: Reading novels, writing fiction, and running outside.

Postdoctoral Scholar – Boussard Lab

Dr. Sun’s research focused on improving disease management for patients with chronic conditions. Her research focuses on evaluation of tech-enabled care delivery approaches for disease management and predictive model development for poor patient outcomes with electronic health record data.

Research Interests: Chronic disease management; electronic health records; big data analytics

Postdoctoral Scholar - Khatri Lab

Research Interests: Genetics and genomics, Cancer, Multi-omics data integration, Viruses, Data visualization, Precision medicine

Postdoctoral Scholar – Boussard Lab

Behzad Naderalvojoud received his PhD degree in Computer Science at Hacettepe University, Turkey.  He has led many industrial AI projects in the fields of healthcare intelligence and information management in the Eureka cluster programmes.

Research Interests: Machine Learning, Deep Learning, Natural Language Understanding, Big Data Analytics, Healthcare Intelligence, Healthcare Knowledge Discovery