Senior AI/ML scientist for early stage Biotech with focus on Computational Biology and Bioinformatics. Experience in building computational core of early stage Biotech - including AI frameworks to utilize generated data, implemend novel algorithms and pipelines that process the raw data, and create automated systems. My strength lies in collaborating with wet lab teams to understand how AI/ML and other computational frameworks could help with the objective. At HC Bioscience, Inc., our team leverages cutting-edge AI to push the boundaries of drug discovery. With a strong foundation in computational biology, we focus on developing AI models that pioneer novel RNA-based therapies. Our current projects include the creation of Graph Variational Autoencoders (VAEs) and the application of Generative Adversarial Networks (GANs) to optimize molecular structures.Previously, as part of ValtedSeq, our collective efforts centered on utilizing single-cell sequencing data to unearth biomarkers and therapeutic targets for neurodegenerative diseases. This work has equipped us with the capability to harness machine learning for intricate biotechnological challenges, furthering our mission to revolutionize the landscape of immunotherapies for conditions like Alzheimer's and Parkinson's diseases.