About Me
I am a Machine Learning Researcher at NVIDIA with interests across all things Reasoning within AI, Explainable AI and Knowledge Graphs. I have completed my Ph.D. at the University of Copenhagen under the guidance of Isabelle Augenstein and Pasquale Minervini. I am a former member of the CopeNLU research group and the Pioneer Centre for Artificial Intelligence in Denmark.
My research spans developing reasoning methods across different modalities in Deep Learning, advancing explainable AI techniques, and enhancing reasoning varifiability and faithfulness in neural models through augemntaion with Symbolic methods. I am also interested in the evaluating the optimality of reasoning methods in neural models and their impact on the model’s performance and generalization.
Among other engineering and research experience, I had visiting research stints at Amazon’s Alexa AI team and Cohere AI, working on grounded, faithful and varifiable LLM reasoning. Additionally, I’ve led model tailoring and optimization teams at ARM as an Apllied Machine Learning Enginer.
Previously, I completed my MSc in Machine Learning at University College London in the Machine Reading Group, where under the guidence of Pasquale Minervini, my thesis, “Complex Query Answering with Neural Link Predictors”, received the Outstanding Paper Award at ICLR 2021. My academic journey began with a B.S. in Computer Science from the American University of Armenia, supported by a full governmental scholarship and the “Best Bachelor in The Sphere of IT award”.
In my free time, I enjoy playing basketball, boardgames and narative based activites, participating in hackathons, and occasionally indulging in classical music, a passion from my earlier years as a music student.
