Meet The Experts
Our team of experts spans a unique mix of specialized fields, including graph theory, condensed matter physics, high-energy physics, computational chemistry, discrete optimization, continuous optimization, operations research, and computer engineering. These innovative scientists self-organize into dynamic, multidisciplinary teams to tackle challenges in machine learning and complex optimization.
Chief Medical Officer
MD, FRCPC, MBA
A practicing pediatric interventional radiologist and a health care leader. He is passionate about innovation and technology in health, currently co-chairing the CANHealth network, a federally funded integrated health marketplace which stitches together most of Canada’s health authorities. He is an active member of the Canadian Space Agency’s council on Deep Space Healthcare and was the Chairman of the Board of Joule, the Canadian Medical Association’s innovation and commercialization division. Previously, he was the Executive Chairman of Foundational Clinical Services (Radiology, Pathology, Anesthesia, Peri-operative services, Psychiatry, Patient Experience and Innovation) at Sidra Medicine in Qatar, where he helped build and operationalize, from the ground up, quaternary care women and children’s hospital. He has also been the Subspecialty Chair of Pediatric Radiology at the Royal College of Physicians and Surgeons of Canada and the Chairman of the Radiology department at the Alberta Children’s Hospital. He received his MBA from HEC Paris and has been an active entrepreneur. During his career, Deepak has led initiatives to integrate machine learning into healthcare. Deepak’s previous faculty appointments include associate professorships at Cornell University and the University of Calgary. He is an associate of the Creative Destruction Labs.
Data Scientist, Machine Learning
Negar completed her Master’s in Electrical Engineering at the University of Tehran, where she focused on design and control of intelligent agents and their applications to smart grid and building energy management systems. She has always been interested in designing, building, and deploying machine learning solutions to derive intelligence from data and use it to empirically solve real-world problems. Negar is an avid swimmer, both indoors and outdoors. Like many Persians, she appreciates tasty foods from all around the world, and she likes cooking new recipes too. Negar also enjoys listening to music; piano and percussion instruments are her favourites.
Business Analyst, Healthcare
Natalia holds a Ph.D. in Biomedicine by the University of Barcelona and overall 10+ years of biomedical research. In parallel, she complimented her education with project management and business management studies at the University of Toronto. Before joining 1QBit, she worked at the Digital Health Secretariat in the Ministry of Health and Long-Term Care in Ontario supporting several programs in digital health care. Natalia is also a dancer and entrepreneur. In 2012, she co-founded Lindy Hop Revolution, a swing dance studio based in Toronto. She coached, performed, and competed nationally and internationally, becoming a Canadian and American champion in her division. She enjoys any outdoor activity and going on adventures with her Border Collie, Lola.
Customer Solutions Lead
Dan holds a bachelor’s degree in Engineering Physics and a master’s degree in Electrical Engineering from the University of British Columbia. He has half a decade of combined experience developing hardware and applications for adiabatic quantum computers. His current work at 1QBit includes the design of algorithms to approximate optimal decision policies for problems in stochastic control, as well as tackling other problems in machine learning. Dan was born too late to explore Earth, too early to explore space, but just in time to explore the potential of machine intelligence.
Director, Machine Learning and Quantum-Inspired Solutions
Jaspreet directs the machine learning and the quantum-inspired optimization division at 1QBit. He is usually busy connecting business with technology, client problems with 1QBit brains and the company strategy with the on-ground execution. He has 6+ years of experience in identifying and formulating data-driven quantum and classical solutions for businesses in finance, retail, healthcare and more. Jas’s undergraduate and postgraduate study was focussed on electronics and computer engineering with interest in combinatorial optimization, machine learning and big data. In his free time, Jas likes to campaign for organ-donation and sway to Punjabi dhol beats.
Professional Services Software Development Lead
Jason came to Vancouver by way of Ontario, having earned his Bachelor’s Degree in Computer Science along the way. He interned in the gaming industry in Montreal and also spent a few years in the Far North working on software in the finance sector. Prior to his time at 1QBit, he returned to BC and worked for many customers on diverse problems in the data, data connectivity, and data analytics fields. When he isn’t working on software, you can usually find him traversing a league or two under the sea, photographing the flora and fauna of Howe Sound.
Emran Abu Anas
Technical Lead, Machine Learning Researcher
Emran completed his BS and MS degrees in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology. In his master’s program, he worked with ECG signal analysis, artifact removal in CT images and elastography-based breast cancer detection. Then he started Ph.D. in the University of British Columbia, Canada, where, he worked with enabling ultrasound guidance in scaphoid fracture fixation and prostate segmentation in ultrasound images using deep neural networks. After completing his PhD, he worked as a postdoctoral fellow in Johns Hopkins University, USA, where he explored the possibilities of deep learning in photo-acoustic, thermal and ultrasound tomography imaging. After 1 year of his postdoctoral training, he joined 1QBit as a machine learning researcher to bring his expertise in medical image processing into their healthcare projects. His personal interests include playing table tennis and bowling; reading detective novels; watching suspense and thriller movies; driving boats and catching fishes.
Senior Data Scientist
Mohammed received his MSc in Data Science and engineering at HBKU university where he worked on implementing deep learning techniques on medical image diagnosis for skin cancer classification and bone age determination. Mohammed is a machine learning enthusiast with a post-graduate certificate in data science from Harvard university – extension school, and his work at 1QBIT is currently focused on implementing the latest AI technologies to solve healthcare-related challenges. He holds a BSc in Computer Engineering from Alexandria University in Egypt. During this free time, Mohammed plays squash or reads books with his kids.
Machine Learning Researcher
Stanley holds a MSc degree in Computing Science from Simon Fraser University. His research focuses on resolving complexities in within-host strain diversity and drug resistance using optimization and machine learning. Prior to his arrival in Canada, Stanley spent four years in Hong Kong and obtained his bachelor’s degree in mathematics from the University of Hong Kong. During his studies at HKU, he spent some time working on research involving the design and analysis of online algorithms via primal-dual methods. Stanley enjoys playing music and has performed as a pianist/guitarist/drummer on several occasions during his undergraduate studies. Given his diverse background, Stanley enjoys eating Chinese cuisine (dim sum in particular) and Malaysian curry.
Machine Learning Researcher
Ehsan is currently a student at Simon Fraser University, working towards an M.Sc. in computer science with a specialization in big data. At 1QBit, he is doing an internship in the machine learning team, working on data science projects. Prior to coming to Vancouver, Ehsan lived in Winnipeg, Manitoba for over four years, where he received an M.Sc. in Electrical and Computer Engineering at the University of Manitoba and worked at General Electric. Outside of work and school, Ehsan loves listening to many different genres of music and is learning to play the piano. He enjoys cooking and takes pride in some of his recipes. He is also a big fan of the Bayern Munich football team.
Ehsan received his Ph.D. in computer science at Simon Fraser University. His main research interests are in algorithms and combinatorial optimization. At 1QBit, Ehsan works on linear-integer programming techniques and develops quantum-inspired algorithms for various optimization problems. He loves sports and books.
Anushervon was born in Dushanbe, Tajikistan and moved to Beijing, China at the age of five where he spent ten years before moving to Vancouver, Canada. He is fluent in Russian, Mandarin, English and Tajik, and enjoys finding similarities between those and other languages. In his free time, Anush enjoys playing music with friends, going on road trips, and picking up new hobbies. Anush holds a bachelor’s degree in Software Engineering from the University of Waterloo, and has interned at Capcom and Hootsuite, among other Vancouver companies, prior to joining 1QBit.
Machine Learning Researcher, Image Processing
Vsevolod was born and grew up in stern Chelyabinsk, Russia, the city renowned for building tanks and withstanding falling meteors. After receiving a BSc from South Ural State University, he studied at Lappeenranta University of Technology in Finland and received a MSc in computational engineering and physics. At 1QBit, he is a part of the machine learning team, where he works on medical image analysis. Outside working hours, you could spot Vsevolod playing chess, rollerblading, or learning to play guitar, sometimes attempting to combine these occupations with no great success.
Guanchen received his Master of Data Science degree from the University of British Columbia and his master’s and bachelor’s degrees in mechatronic systems engineering from Simon Fraser University. His research focus was on the optimization of electric vehicle charging. Previously, Guanchen worked at a startup developing smart home products, and at BC Hydro contributing to smart grid projects. Guanchen loves hiking and playing soccer, basketball, and tennis. When it’s raining in Vancouver, Guanchen does freelance software development and learns how to cook without recipes.