Sotabase

Career

· Research Fellow (Machine Learning), Harvard Medical School and Massachusetts General Hospital (Current)2024–
· Machine Learning Scientist - Advanced Analytics Data Science, Eli Lilly and Company2022–2023
· Machine Learning Scientist - Intern, Advanced Analytics Data Science, Eli Lilly and Company2022–2022
· Software Developer, MetricStream2014–2016

Publications (13)

An Overview of Blockchain Architecture and it’s Applications
2016
10
cited
On Decentralizing Federated Reinforcement Learning in Multi-Robot Scenarios
SouthEast European Design Automation, Computer Engineering, Computer Networks and Social Media Conference · 2022
9
cited
An Intrusion Detection System Using Extended Kalman Filter and Neural Networks for IoT Networks
Journal of Network and Systems Management · 2023
8
cited
On Decentralizing Federated Learning
IEEE International Conference on Systems, Man and Cybernetics · 2020
6
cited
On an immuno-inspired distributed, embodied action-evolution cum selection algorithm
Annual Conference on Genetic and Evolutionary Computation · 2018
4
cited
On Securing Mobile Agents using Blockchain Technology
2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP) · 2019
4
cited
Intrusion Detection System For IoT Networks Using Neural Networks With Extended Kalman Filter
International Conference on Computer Communications and Networks · 2021
3
cited
An Immuno-Inspired Transfer Learning Paradigm
IEEE Congress on Evolutionary Computation · 2021
2
cited
Agrilogistics - A Genetic Programming Based Approach
2019
1
cited
Immuno-inspired management of halls of fame for embodied evolution
Swarm and Evolutionary Computation · 2022
1
cited
On Embedding a Dataflow Architecture in a Multi-Robot System
International Conference on Robotic Computing · 2022
1
cited
Mutational puissance assisted neuroevolution
GECCO Companion · 2020
Transfer Learning for Embodied Neuroevolution
GECCO Companion · 2023
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