Publications
I met a traveller from an antique land,
Who said—“Some vast and trunkless URLs of papers
Stand in the desert. . . . Near them, on the sand,
Half sunk a shattered visage lies, whose frown,
And wrinkled lip, and sneer of cold command,
Tell that its sculptor well those passions read
Which yet survive, stamped on these lifeless things,
The hand that mocked them, and the heart that fed;
And on the pedestal, these words appear:
My name is Ian, Scholar of Scholars;
Look on my Works, ye Mighty, and despair!
Nothing beside remains. Round the decay
Of that colossal Wreck, boundless and bare
The lone and level sands stretch far away.
– Unknown
- Machine Learning for Physiological Time Series: Representing and Controlling Blood Glucose for Diabetes Management Doctoral Thesis, 2020
- Deep residual time-series forecasting: Application to blood glucose prediction KDH@ECAI, 2020
- Deep Reinforcement Learning for Closed-Loop Blood Glucose Control MLHC, 2020
- Advocacy Learning: Learning through Competition and Class-Conditional Representations. IJCAI, 2019
- Reinforcement Learning for Blood Glucose Control: Challenges and Opportunities ICML RL4RealLife, 2019
- Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories KDD, 2018
- The Advantage of Doubling: A Deep Reinforcement Learning Approach to Studying the Double Team in the NBA MIT Sloan Sports Analytics Conference, 2018
- Contextual Motifs: Increasing the Utility of Motifs using Contextual Data KDD, 2017
- Cell list algorithms for nonequilibrium molecular dynamics Journal of Computational Physics, 2016