Dr. Maria Nattestad is a software engineer on the genomics team in Google Health, where she works on DeepVariant, a deep learning based variant caller for genomic sequencing data. She focuses on building tools to make high-quality genetic information accessible to scientists, clinicians, and patients to help them make better health decisions. Prior to joining Google, she completed a PhD at Cold Spring Harbor Laboratory in New York, working on algorithms and visualization tools for using long-range genomic data in cancer research. After her PhD, she built a genomic visualization software business, along with a YouTube channel called OMGenomics where she gives people around the world advice on pursuing bioinformatics.
Dr. Yuan Liu is a software engineer on the dermatology team in Google Health. She currently leads various dermatology related research and development efforts, with a focus on building AI assistant tools to improve the world’s access to accurate information and care for everyone. She also worked on applying computer vision techniques to large-scale user generated content in Google Maps. Prior to joining Google, she obtained her PhD in medical image processing at Vanderbilt University, where she conducted intelligent analysis of radiology images (CT, MRI) to advance image-guided neurosurgical procedures. She currently serves as a co-chair for the upcoming ISIC Skin Image Analysis workshop at CVPR, and guest editor for upcoming special issues on skin image analysis.
Dr. Eric Teasley is a technical program manager who plays roles on the mobile vitals and health equity teams at Google Health. Eric developed the mobile vitals team’s first platform for collecting synchronized video and ground truth vital sign data and conducted the pilot study behind the team’s technologies for measuring heart rate and breathing rate via smartphone camera as features of the Google Fit app. His experience in ensuring that these technologies were developed with diversity in mind led to a role in developing processes for ensuring equity in research across Google Health. Prior to Google, Eric completed an MD and an MS in bioengineering at Stanford, where he used microfluidics to enable novel methods of growth factor delivery for tissue engineering applications and created tools for capturing and observing individual cells. He additionally holds a BS in chemical engineering from Stanford.
Dr. Jansen's work as a Technical Program Manager focuses on oncology, medical imaging and machine learning, and translating Google’s foundational research into real-world patient impact. Before joining Google, she was at Verily Life Sciences where she led regulatory strategy and clinical development of machine-learning technology spanning diverse disease indications. She also worked at the Food and Drug Administration (FDA) as a lead review scientist of breast cancer detection and diagnosis technologies, and at the National Cancer Institute doing research in breast cancer genetics. Dr. Jansen received her PhD in Medical Physics from the University of Chicago.
Dr. Christopher Kelly is a clinician scientist working in Google Health’s artificial intelligence imaging and diagnostics team. He focuses on the safe translation of Google’s groundbreaking artificial intelligence research into real clinical impact. Prior to joining Google, he completed a PhD in medical imaging at King’s College London. As a clinician, he created an award-winning smartphone app called NeoMate, used worldwide to support doctors and nurses looking after sick newborn infants. He continues to practise as a paediatrician on the neonatal intensive care unit at St Thomas’ Hospital, London. Alongside medicine, Chris previously founded and sold two internet companies and is an active angel investor in technology startups.