We are recruiting machine learning experts to join our growing team of research associates
on health and healthcare by carrying
out relevant translational research
cutting-edge research methods related to computational health
study outcomes with clinicians,
healthcare providers, and policymakers
for the benefit of people worldwide
Conducting advanced computational health research requires access to huge clinical datasets, strong technological infrastructure, and rich practical experience. The addition of machine learning tools and expertise helps to identify trends and risk factors to generate predictive models. This type of research can lead to improved prevention, diagnosis, and treatment.
The KI actively promotes health-related research by providing tools and framework that enable researchers to carry out innovative studies.
Massive, detailed, de-identified Electronic Health Record datasets, ready for research
Best of breed data scientists, with proven academic and practical experience.
State of the art framework, enabling the implementation of agile and diverse machine learning based research
Privately funded grants to cover costs throughout research and publication
The KI’s founder has a wealth of experience in developing top AI technology. Nir Kalkstein is ranked as Grandmaster, a title reserved for the top 100 machine learning experts in Kaggle, the largest and most diverse data community in the world
In the late 1990’s, Nir Kalkstein founded Final which became a world leader in automated trading algorithms. The company specialized in the development of artificial intelligence algorithms for the prediction of future stock prices. Following numerous other outstanding achievements, Nir founded Medial EarlySign, which develops proprietary machine learning platforms. This technology enables rapid analysis of millions of electronic health records to identify patients at highest risk for life-altering outcomes.
Programs developed by Medial EarlySign are implemented in healthcare organizations worldwide, saving lives while reducing healthcare costs.
Nir Kalkstein has gathered a team of dedicated data scientists with rich and diverse experience in the field of computational health. The KI, a non-profit foundation, promotes the use of big data analytics in academic and practical health and medical research.
The enormous quantities of medical data that have been amassed as a result of computerized healthcare offer amazing research opportunities, but present major technical challenges. Using computational health methods such as machine learning and big data analysis, we can rapidly find complex connections and trends hidden within data to develop models that can predict disease, identify groups at increased risk, and much more.
The KI was founded to promote health and medical research by offering high-quality infrastructure, machine learning expertise, and the combined experience of its team members in the field of computational health.