Problem Solver
Dmytro Korenkevych
Areas Dmytro Korenkevych is Knowledgeable in:
Optimization, machine learning, reinforcement learning, deep learning.
Techniques Dmytro Korenkevych Uses:
I use deep learning and reinforcement learning in the majority of my work.
Dmytro Korenkevych's Problem Solving Experience:
- I developed a probabilistic model that based on routinely measured medical tests data and patient's demographics predicted risk of mortality after surgery with more than 92% accuracy across a database of 30,000 patients.
- I developed a Deep Reinforcement Learning system that runs on physical robots and learns to perform tasks in real world.
- I developed an unsupervised learning algorithm for D-Wave quantum computer that on a class of hard artificial problems outperformed state-of-art classical algorithms by orders of magnitude.