About me

I hold an MSc in Computer Science from McMaster University, where I specialized in Reinforcement Learning and Multi-Agent Systems. Now I am continuing my journey with McMaster as a Research Assistant, exploring Neuroscience and Speech Processing to learn something new that remains connected in many ways.

Still, I remain connected to Reinforcement Learning. During my graduate studies, I worked under the guidance of Dr. Stephen Kelly at the Creative Algorithms Lab, where I investigated Tangled Program Graphs (TPGs) with novel memory mechanisms to enhance Deep Reinforcement Learning (DRL) systems.

Currently, I am working with Dr. Christian Brodbeck at the Brodbeck Lab to study how people use linguistic context to interpret speech, especially when the signal is unclear due to noise or hearing loss. Our research aims to model how this process unfolds during continuous speech, how it changes with age, and how it is affected by hearing loss. We collect EEG, fMRI, and cognitive and hearing assessment data to support these models, and process the data using ML techniques. This NIH-funded project is described in more detail on its project page.

I am always excited to connect with others who are passionate about using technology to drive innovation and create meaningful impact.