More about me
More about me
Never late to learn anew thing
Some hands on experience
Venues I am exploring these days
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My name is Sarkhan Badirli and I am from Azerbaijan. I am currently 4th year PhD student in Computer science at Purdue university, focusing on Machine Learning. My research interest is evolving eround Statistical Machine Learning, Bayesian Inference, Zero/Few shot learning and Generative Adversarial Networks.
Resume
Python
Matlab
C++
Bayesian Inference
Zero/Few shot learning
Authorship attribution
Gradient boosting in Neural Networks
Generative Adversarial Nets
I always have a deep interest in Mathematics, and finally it lead to Bronze medal in International Mathematical Olympiad (IMO), 2008. I got my BSc degress at Mathematics from Midle East Technical University, in Ankara, Turkey. Thereafter I decided to explore the venues where I can apply these mathematical models. I firtst tried Quantitative Finance at ETH Zurich by enrolling into MSc in Applied Mathematics. I didn't find the thrill I was looking for. Finally I got my dream area that I want to spend my whole life in: Machine Learning, in a broader name AI. I am currently 4th year PhD student at Purdue University focusing on Statistical ML.
BSc in Mathematics
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2009 - 2012
Year 1
MSc in Applied Mathematics
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2012 - 2014
Year 1
CS in Statistical Machine Learning
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2016 - Present
Year 1
2016
From
Risk Analyst
2016
To
I was a risk analyst at State Oil Fund of Azerbaijan Republic (Sovereign Wealth Fund).
2019
From
Research Scientist Intern
2019
To
I developed off-the-shelf neural network algorithm.
2020
From
Research Scientist Intern
2020
To
I developed Seq2Seq model with attention mechanism to forecast Blood Glucose Levels.
GrowNet
Gradient Boosting Neural Networks: GrowNetOff-the-shelf Neural Network algorithm for multiple ML tasks such as classification, regression, and learning-to-rank.
Languages, libraries and tools used