About Us


BioMind is an award-winning Artificial Intelligence (AI) company offering advanced technology solutions in healthcare industry. 

As the world’s first company to obtain both European CE mark and Singapore HSA medical device certification, we pride ourselves in empowering the healthcare community through deep technology.  Driven by a large team of machine learning engineers, regulatory experts and medical professionals from prestigious hospitals, we envision to scale healthcare expertise globally using AI. 

BioMind has also been crowned the Champion in both the Techblazer Award 2019 and 19th Asia Pacific ICT Alliance Award. These highest accolades both nationally and internationally for ICT innovation are strong endorsements of how our technology can deliver unprecedented benefits to people. We are also proud to be one of the Top 10 AI Powered Healthcare Companies in APAC. 


We aim to improve efficiency and patient outcomes by
empowering healthcare professionals with advanced deep learning technologies in medical imaging.


We envision to scale healthcare specialist expertise globally using AI so that patients over
the world can benefit from fast and accurate diagnosis and effective treatment.

Our Partners

Beijing Tiantan Hospital​

Beijing Tiantan Hospital has the world’s leading neurology and neurosurgery programs. It is one of the three largest neurosurgery research centers in the world and is the centre of clinical research and neurosurgery education in Asia. It also houses the National Clinical Research Center for Neurological  Disorders and the World Health Organization (WHO) Collaborating Center for Research and Training in Neuroscience. In 2017, we established the world’s first Artificial Intelligence Research Centre for Neurological Diseases in collaboration with Beijing Tiantan Hospital, developing a comprehensive suite of AI applications in this field.

MOH Holdings & IDA

MOHH and IDA are important driving forces in identifying and adopting emerging IT technologies to improve lives and productivity, with MOHH focusing on healthcare. In a local hackathon organised by IDA and MOHH, our innovative and disruptive vision for the healthcare industry was carefully selected from a stiff competition of about 20 teams for further development. Ever since, we have received ample support to advance our mission for the benefit of the healthcare industry.

Bioinformatics Institute (BII)

The Bioinformatics Institute (BII) focuses on theoretical approaches aimed at understanding biomolecular mechanisms. We have jointly developed state-of-the-art image segmentation technology using Convolution Neural Network (CNN) for identifying Regions of Interest (ROI) in medical images to reduce manual efforts required, hence boosting productivity.  

National Heart Centre (NHC)

The National Heart Centre (NHC) is a national and regional referral centre for cardiovascular diseases dedicated to providing optimal care. We are working with NHC to improve treatment administration.

MIT CSAIL (Alliance Partner)

CSAIL is the largest research laboratory at MIT and one of the world’s most important centers of information technology research. Leading organizations come to CSAIL to learn about our work, recruit talented graduate students, and explore collaborations with our researchers.  CSAIL Alliances provides a proactive and comprehensive approach to developing strong collaborations with all CSAIL has to offer.  

NUS (AI Research Partner)

A leading global university and ranked first in Asia Pacific, the National University of Singapore (NUS) is Singapore’s flagship university. It offers a global approach to education and research, and has a deep Engineering and Computing Science core since inception. We launch the world’s first Healthcare Machine Learning PhD Program with NUS, sponsoring talented individuals for PhD studies through our prestigious BioMind scholarships. Our scholars are sent for overseas for machine learning training once every year.

Nvidia (Inception Partner)

Nvidia’s Inception Programme nurtures dedicated and exceptional startups who are revolutionizing industries with advances in AI and data science. This virtual accelerator program helps startups during critical stages of product development, prototyping, and deployment.

Hôpitaux Robert Schuman (European Flagship Partner)

A new chapter of medical history has begun on 19 Sep 2019 as a Memorandum of Understanding (MoU) was signed between BioMind and the renowned Hôpitaux Robert Schumann in piloting BioMind’s AI solution in Europe. The grand ceremony was conducted in the presence of Luxembourg’s Deputy Prime Minister and Minister of Health, Etienne Schneider. The collaboration is touted as an inspirational symbol of success where AI intersects medical imaging and since been featured in many media.

Our Management

Raymond Moh, CEO

Raymond graduated from the prestigious National University of Singapore’s Engineering Double Degree Program and obtained a MBA with distinction from Strathclyde.  He has served as a scholar and technology advisor in big data engineering since 2008. From FinTech to HealthTech, he has advised over 50 organisations to achieve high growth rate and productivity driven by technology adoptions.

Joe Wu, CTO

Joe graduated from National University of Singapore with a Double Major in Physics and Mathematics. He obtained a Masters degree in Computer Science from McGill University. In 2013, he collaborated with Deep Learning Pioneer Professor Yoshua Bengio at University of Montreal, MILA lab. Previously from Microsoft Research and A*STAR, he has since worked with many scientists in the study of deep learning techniques. He also acted as an advisor to the AI.SG committee in 2017.

Professor Feng Jiashi, Chief Scientist, Lead of BioMind Research Center

Dr Feng Jiashi is a professor at the Department of Electrical and Engineering of NUS and the head of NUS Learning and Vision Lab. He has been listed as one of the ten young outstanding innovators from the Asia Pacific region on the MIT Technology Review’s “Innovators Under 35” Asia 2018 list. 

Professor Polina Golland, Advisor, MIT

Dr. Polina is the Principle Investigator of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. She is a veteran in building computational models of anatomical and functional variability from medical images and develop methods for making predictions for new subjects based on images. Dr. Polina is also the General Chair and Program Co-Chair of MICCAI, reviewer and board member of IPMI, and reviewer of Machine Learning in Healthcare and has more than 150 international publications.

Professor Cai TianXi, Advisor, Harvard Medical School

Dr. Cai is an expert in biomarker evaluation, model selection and validation, prediction methods, personalized medicine in disease diagnosis, prognosis and treatment, statistical inference with high dimensional data, and survival analysis. In addition to her methodological research, Prof Cai also collaborates with the Informatics for Integrating Biology and the Bedside (I2B2) center and is well-known for developing a scalable informatics framework that will bridge clinical research data and the vast data banks arising from basic science research in order to better understand the genetic bases of complex diseases.

Our Awards and Accolades

SG:D Techblazer Awards Most Promising Innovation Category (Gold)

Gold Award winner in the Most Promising Innovation Category in Singapore’s most highest accolade for tech innovation, with close to 300 applications.

Asia Pacific ICT Alliance (APICTA) Awards 2019

Champion winner in the ICT and Security Category in Asia Pacific for ICT innovation out of 16 countries.

ACM RecSys Challenge 2015

1 of 17 teams accepted for workshop presentation in ACM RecSys Challenge out of 850 competitors.

MOH Holdings Digital Healthcare Hackathon 2016

Overall champion in the digital healthcare hackathon organised by Ministry of Health Holdings using Artificial Intelligence to solve industry pain points.