Maléne is a postdoctoral research fellow in Cardiovascular Medicine. She is from Stockholm, Sweden, where she completed her Master’s degree in Biomedicine (2007) and her PhD in Medicine (2015) at Karolinska Institutet. She did her thesis on endurance training adaptation of skeletal muscle in humans and was awarded a Wallenberg fellowship to fund two years of research in the Ashley lab. Her current research interests are the molecular and genomic aspects of physical activity in the prevention of cardiovascular diseases. When she is not in the lab, she likes to travel with her family, exercise, read and eat good food.
Mikael is a visiting scholar from The Swedish School of Sport and Health Sciences, Stockholm, Sweden, where he holds a position as assistant professor in the department of Professors P-O. Ã…strand and B. Ekblom. He received his Master's degree in physiology (2006) and his PhD in Medical Science - physiology (2011) from Karolinska Institutet in Sweden. He did his thesis on the physiology of ultra-endurance athletes (Adventure Racers). His research evolves in the area of endurance performance, exercise induced cardiac fatigue and circulatory adaptations. At the Ashley lab he is involved in the projects "extreme physiology" and "the Athlete Genome".
Jack is a Australian physician (MD, PhD) currently working as a Post-Doctoral Research Fellow at Stanford University. He is jointly supervised by Professor Euan Ashley and Professor John Ioannidis and is an active member of both labs: the Ashley Lab and Meta-Research Innovation Center at Stanford (METRICS, Ioannidis).
Jack’s fellowship concerns the diagnosis and risk prediction of cardiovascular disease. Jack employs a variety of statistical methods to assess new diagnostic technologies, such as smart phones and smart wearables, and my work also extends to computational cardiac genetics. The data sources he utilizes to conduct my research are numerous, but include large datasets such as the UK Biobank, as well as publicly available dataset (meta-analysis and meta-research). He also has previously used large electronic health records (>250 million EHRs).
Aside from his own research prioritizes (above), Jack also work on studies conducted collaboratively within the Ashley Lab, the Division of Cardiovascular Medicine and METRICS. These studies broadly include digital health randomized controlled trials (RCTs) and meta-research (including statistical methods such as meta-analysis, meta-regression etc).
Jack previously completed a DPhil (PhD) in clinical epidemiology at the University of Oxford as a Clarendon Scholar. The title of his DPhil thesis was: “Biostatistical and meta-research approaches to assess diagnostic tests”. Jack’s published research is available at the google scholar page (https://scholar.google.co.uk/citations?user=n5l7tL8AAAAJ&hl=en) and some of his code is publicly available at his GitHub (https://github.com/jackosullivanoxford).
Beyond academic institutions, Jack consults to the World Health Organization (WHO); including on WHO guidelines, where he is currently the methodological chair for a WHO guideline concerning the early(ier) detection of disease in adults. Jack also work as an associate editor at one of the BMJ sub-journals: BMJ EBM. During my DPhil Jack worked clinically at Oxford University Hospitals (John Radcliffe Hospital) and intend to return to clinical practice as a Physician-Scientist at Stanford upon the completion of my research Fellowship.
You can follow Jack on twitter (https://twitter.com/DrJackOSullivan): where you will find him tweeting about statistics, surfing, cardiology, medicine, epidemiology, health policy, and, occasionally, politics.
Qianru joined the Ashley lab as a postdoctoral scholar in the summer of 2019. Qianru obtained her Master’s degree (2014) and Ph.D. (2018) in Mechanical Engineering from MIT, where she innovates microfluidic technologies to measure biophysical properties of bacteria for applications in sustainable energy and synthetic biology. In her Ph.D. thesis project, she developed a novel microfluidic process to rapidly identify and sort electricity-producing bacteria for use in microbial fuel cells and bioremediation. Her microfluidic system noninvasively classified bacteria according to their cell surface polarizability, an inherent electrical property of microorganisms, which was found to be an indicator of cell extracellular electron transfer. Currently, she is interested in applying microfluidics-enabled phenotyping of single cardiomyocytes to efforts in understanding the pathogenesis of hypertrophic cardiomyopathy. Outside the lab, Qianru is a badminton player, and a big fan of comedy shows and detective films.