updated bio

_members/grant-mcconachie.md

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 ## BIO
 
-I am a PhD student in the Biomedical Engineering Department. I received my undergraduate degree from Oregon State University in Bioengineering where I conducted research in computational chemistry under Dr. Cory Simon. After graduating, I worked at the NIH as a post-bac at the NCI Program for Natural Product Discovery (NPNPD). Here, I worked in an automation lab running, troubleshooting, and programming various robotic equipment and creating computer programs to assist the lab. Presently, my research interests include biophysical modeling of the brain and machine learning. Outside of academic activities, I like to make music, graphic design, and speed run super mario odyssey. 
+I am a PhD student in the Biomedical Engineering Department. I received my undergraduate degree from Oregon State University in Bioengineering where I conducted research in computational chemistry under Dr. Cory Simon. After graduating, I worked at the NIH as a post-bac at the NCI Program for Natural Product Discovery (NPNPD). Here, I worked in an automation lab running, troubleshooting, and programming various robotic equipment and creating computer programs to assist the lab. Outside of academic activities, I like to make music, graphic design, and climb.
 
 ## Current Work
 
-I am interested in leveraging the neurobiological information in the mosquito olfactory system to discover novel aversive molecules. Right now, I am making graph neural networks (GNNs) that attempt to predict olfactory sensory neuron responses in _Aedes aegypti_ to different odorus molecules. This work will give insight into how mosquitoes encode olfactory information. 
+I am interested in leveraging sophisticated machine learning techniques to understand complex behaviors in animals. My research focuses on applying graph neural networks to two key areas:
 
-I am also interested in implementing and testing the limits of surogate gradient methods for spiking neural networks (SNNs).
+1) Mosquito Behavior: Using graph-based models to decode how odors are processed in the mosquito brain, with the goal of facilitating the discovery of effective repellents.
+
+2) Glassfish Schooling Dynamics: Exploring how graph neural networks can analyze schooling fish data to uncover patterns and insights into their collective behavior.
+
+By bridging machine learning and neuroscience, I aim to contribute to innovative solutions and deepen our understanding of complex biological systems.