Sodiq Adewole PhD
ML Scientist and Adjunct Professor of Data Science
Microsoft / University of Virginia
Biography
Dr. Adewole is a machine learning scientist at Microsoft and an adjunct professor of data science at the University of Virginia School of Data Science. His research interests include Deep Representation Learning, Multi-modal Representation Learning, Reinforcement Learning, Artificial Intelligence and Edge Computing
Interests
- Deep Representation Learning,
- Multi-Modal Deep Learning,
- Computer Vision
- Natural Language Processing,
- Deep Reinforcement Learning
- General Artificial Intelligence and Edge Computing.
Education
PhD in Systems Engineering, 2021
University of Virginia
BSc in Mechanical Engineering, 2012
University of Ibadan
Skills
Python
100%
Pytorch
100%
Tensorflow
100%
C#
90%
Statistical Machine Learning
100%
Deep Learning
100%
Natural Language Understanding
100%
Experience
ML Scientist
Microsoft
Responsibilities include:
- Analysing
- Modelling
- Deploying
Adjunct Professor of Data Science
University of Virginia
Teaching Graduate Level Deep Learning.
Accomplishments
Neural Networks and Deep Learning
Formulated informed blockchain models, hypotheses, and use cases.
See certificate
Object-Oriented Programming in R
Projects
*
A tutorial of training LLM from scratch in a single notebook
Other External Project
An example of linking directly to an external project website using
external_link.Contact
- email@example.org
- 000 111 22 33
- Dell 1, Univeristy of Virginia, VA 22903
- Dell Building 1
- Fridays 17:30:00 to 18:30:00