Hamed Emamy

Hamed Emamy has a diverse background in computational biology and soft materials research. Hamed is currently working as a Senior Computational Biologist at Invea Therapeutics since May 2023. Prior to this, they worked at InveniAI as a Computational Biologist from February 2022 to May 2023.

Hamed has also gained experience in academia, having worked as a Postdoctoral Research Associate at Brown University from August 2020 to July 2021. During their time there, they conducted research on the effects of protein dynamics in the liquid-liquid phase separation process, utilizing machine learning methods to estimate thermodynamics and dynamics of proteins.

Before their position at Brown University, Hamed served as a Postdoctoral Research Scientist at Columbia University in the City of New York from April 2018 to June 2020. Their work focused on studying polymer thin films, polymer-nanoparticle composites, and the self-assembly of DNA-origami structures through computational and theoretical approaches.

Hamed's research journey began at Wesleyan University, where they held multiple roles from April 2013 to April 2018. Initially, they worked as a Research Assistant, conducting time series analysis and stochastic processes research in soft materials systems. Hamed then transitioned to a Graduate Research Assistant position, focusing on computational studies of DNA-linked nanoparticle superlattices and the theoretical and computational study of crystallite shape using the Wulff construction method. Additionally, Hamed worked as a Teacher Assistant from August 2012 to December 2017.

Hamed began their research career as a Research Assistant and Teacher Assistant at Sharif University of Technology from January 2011 to June 2012, gaining valuable experience in scientific research and teaching.

Overall, Hamed Emamy has developed a strong foundation in computational biology, soft materials research, and teaching through their diverse work experiences.

Hamed Emamy has a strong educational background in the field of physics and computational biophysics. Hamed obtained a Doctor of Philosophy (PhD) degree in computational biophysics from Wesleyan University, where they studied from 2012 to 2018. Prior to their doctoral studies, Hamed completed their Master of Science (M.Sc.) degree in Condensed Matter and Materials Physics at Sharif University of Technology, where they attended from 2010 to 2012. Hamed began their academic journey by earning a Bachelor of Science (BS) degree in Solid State Physics from the University of Tehran, where they studied from 2006 to 2010.

In addition to their formal education, Hamed Emamy has also obtained certifications in various aspects of machine learning and deep neural networks. Hamed completed courses such as "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization," "Neural Networks and Deep Learning," and "Structuring Machine Learning Projects" through Coursera in May 2021. These certifications demonstrate their commitment to staying updated with the latest advancements in their field.