Ebenezer Gelo
Engineer, AI Researcher, Solopreneur and a coffee-fueled code conjurer. I love building things and helping people.
GitHub Activity
About
Growing up in Hawassa, Ethiopia, my passion for gaming sparked an early fascination with technology, which has since evolved into a focused interest in AI. Currently, I am part of the RAIL Lab, where I focus on safe reinforcement learning, aiming to contribute positively to advancements in the field and the intersection of technology and society.
Updates
Experience
- P
PYGIO
Data Scientist
Working on end-to-end data solutions with a strong focus on data analysis, while also contributing to AI-driven projects where needed. - R
RAIL Lab
Graduate Student
Conducting research at the RAIL Lab (Wits University) focused on safe decision-making in AI agents, with an emphasis on offline RL and feedback-driven behavioral shaping. - E
EPFL
Research Intern
Selected to the highly competitive Summer@EPFL program (1.3% acceptance rate) and worked under the supervision of Prof. Mary-Anne Hartley at EPFL’s LiGHT Lab, exploring prognosis modeling for macroscopic HCC.
Projects
Inferring Prognosis for Macroscopic Hepatocellular Carcinoma
ViewUsing multi-modal deep learning to predict disease progression in Hepatocellular Carcinoma (HCC) patients by integrating clinical data and medical imaging.
Redistribution-based Cost Inference for Safe Offline RL
ViewIntegrating expert feedback into offline RL to enhance decision-making in safety-critical environments while minimizing risks associated with live trials.
Learning World Value Functions(WVFs) without Exploration
ViewExploring how offline RL algorithms learn goal-oriented representations - World Value Functions (WVF), emphasizing the importance of dataset size and diversity.