After receiving his BA in Computer Science, Prof. Brudno proceeded with the completion of his PhD at Stanford University in California where he worked on algorithms for whole genome alignments. His contributions include co-authoring over 60 peer reviewed research papers, developing approaches for comparison of genomic sequences, teaching at the University of Toronto, and working at the Hospital for Sick Children where he is the Director of the Centre for Computational Medicine. Michael’s research interest is the development of computational methods for the analysis of clinical and genomic datasets, and the analysis of High Throughput Sequencing data. Aside from Science, his other passions include playing soccer, hiking, skiing, and spending time with his family.
Dr. Girdea has both industrial software development (she was a team leader at XWiki) and scientific (multiple published papers and PhD in Computational Biology) expertise. She was a Postdoctoral fellow in the Department of Computer Science at the University of Toronto and the Centre for Computational Medicine at the Hospital for Sick Children. As part of her PhD at Université Lille 1 & INRIA Lille – Nord Europe Research Centre in France, she researched new methods for biological sequence alignment. At Gene42, she oversees all technical development, with a strong focus on PhenoTips®.
Sergiu is a passionate member of the open-source community, serving as a lead maintainer and contributor on a number of projects including XWiki and Apache Velocity. As part of his MSc, he studied implementations of peer-to-peer content management in the context of a distributed wiki system. Sergiu heads the open-source component of PhenoTips® as well as directing technical architecture at Gene42.
Dr. Pawel Buczkowicz received his PhD in cancer genetics and molecular pathology from the University of Toronto. He is experienced in medical research having worked closely with oncologists, pathologists and other specialists on various projects including using next generation sequencing technologies to improve therapies for high-risk childhood cancer, development and validation of clinical genetic tests, and translational research on paediatric stroke, vasculitis and brain tumours. Based on his translational research on brainstem gliomas, published in various high impact journals such as Nature Genetics, including the discovery of novel mutations in human cancers and development of clinical correlates, a new World Health Organization classification was implemented for paediatric gliomas. Dr. Buczkowicz is passionate about improving healthcare experience for both the patient and doctor and believes smart and efficient software will revolutionize the way medicine is practiced.
Daniel is a computer engineer who is passionate about the vision of personalized medicine. At Gene42, he plays a lead role in software development and implementation as well as in business/strategy development. He is excited about the capacity for modern computing and 'big data' to revolutionize our understanding of life and human health. Before joining Gene42, he worked at the Ontario Institute for Cancer Research, developing web applications used by scientists to advance bioinformatics research. He has previously been a member on software teams at Amazon and IBM. Daniel holds a BASc in Computer Engineering from the University of Toronto.
Teyden has a background in bioinformatics and received her BSc from the University of Waterloo. She has a thirst for working with real world problems, building and leveraging software applications to improve healthcare and medical infrastructures. Teyden previously did research with the Centre for Research and Education on Aging at UC Berkeley joint with the University of Waterloo where she explored Natural Language Processing techniques for biochemical knowledge discovery. Teyden is excited about the transformation towards personalized medicine and is passionate about modern applications in computing to improve genomic knowledge and diagnostic processes. In her own time, she enjoys traveling/backpacking and learning about different cultures, exploring mountain ranges (and hiking them), and the backcountry.
Sebastian is passionate about working on projects that have a positive impact on people's lives. He was previously at Environment Canada where he worked on the backend system for processing weather data from all over Canada. He also loves automation and strives to reduce any repetitive and frustrating tasks that could help his teammates. He has a BASc in Computer Engineering from the University of Toronto. In his personal life he is passionate about astronomy, books, digital art and motorcycles.
Scott is a data scientist with a particular infatuation for genetics. He received his bachelor's degree from the University of British Columbia in Computer Science and Molecular Biology and is currently a student at the University of Toronto in the Master's of Applied Computing (MScAC) program with a specialization in Data Science and Machine Learning. To fulfill his requirements for the program, he is completing an applied research project at Gene42 exploring open-source tools capable of managing large amounts of genetic data.