About Me
Fardina Fathmiul Alam is a Ph.D. candidate in the Department of Computer Science at George Mason University (GMU) in Fairfax, Virginia. In addition, She works as a Graduate Research Assistant in Dr. Amarda Shehu's Computational Biology Lab (Shehu Lab)) at GMU. Her research focuses on Machine Learning (ML), specifically in the intersection of Deep Learning (DL) with bioinformatics and computational biology. She works on designing novel deep neural-network-based latent variable models to organize high-dimensional, non-linear molecular structure space (in terms of representation learning), and for that, her application domain is Protein Structure data. Fardina already has a good number of publications in her work.Â
In 2013, She received her undergraduate degree in Computer Science and Engineering from the Military Institute of Science and Technology (MIST) in Dhaka, Bangladesh. She earned her MS degree in Computer Science from Mason. She worked for about four years as a Full-Time Teaching Faculty (Lecturer) at the International University of Business, Agriculture, and Technology (IUBAT) in Dhaka, Bangladesh, before joining Mason. She also spent about 3 years at Mason as a Graduate Teaching Assistant for various graduate and undergraduate courses. Fardina intends to complete her Ph.D. by the end of the Spring of 2023.
In 2013, She received her undergraduate degree in Computer Science and Engineering from the Military Institute of Science and Technology (MIST) in Dhaka, Bangladesh. She earned her MS degree in Computer Science from Mason. She worked for about four years as a Full-Time Teaching Faculty (Lecturer) at the International University of Business, Agriculture, and Technology (IUBAT) in Dhaka, Bangladesh, before joining Mason. She also spent about 3 years at Mason as a Graduate Teaching Assistant for various graduate and undergraduate courses. Fardina intends to complete her Ph.D. by the end of the Spring of 2023.