Passionate about data analytics with extensive experience in neural networks and deep learning, Bayesian hierarchal modeling and various other statistical techniques applied to big data in remote sensing as part of my PhD research. Co-Founded Mobius Loop Inc. as part of my interest in applications of data analytics and machine learning for improved efficiency and deeper insights.
I have extensive experience in geospatial analysis, machine learning, devising and implementing research methodologies, and dealing with large amounts of data from various satellite and airborne missions (e.g. GRACE time-variable gravity, ICESat and Operation IceBridge altimetry data) and utilizing various analytical and statistical techniques. My work has involved the use of convolutional neural networks and deep learning for the automatic tracking of glacier calving fronts, mascon processing of satellite gravimetric data, and Bayesian hierarchal modeling for oceanographic research among many other projects. I finished my PhD at the University of California, Irvine in the Earth System Science Department in December of 2019, and I am currently pursuing research at the intersection of data science and geoscience as a Postdoctoral Scholar at The University of Washington in the Civil and Environmental Engineering Department and the eScience Institute. I obtained my Honours Bachelor of Science at the University of Toronto in 2014, specialization in physics and minoring in mathematics.
You can find more about my research and publications at http://yaramohajerani.com
My résumé and CV are also available below:
When not working, you can find me mountain biking, road biking, or enjoying the works of Hilary Putman with a warm cup of coffee.