Bhanu Jain received her Bachelor’s degree in Computer Science from the Institute of Engineering and Technology in India. She received her Master’s degree in Computer Science and Engineering from The University of Texas at Arlington, USA, where she received the All-American Collegiate Scholar Award. She then worked in a number of multi-national software development companies and start-ups, including two ed-tech companies that she founded. Now, as a PhD candidate at UTA, her PhD research is in developing and improving deep learning and machine learning methods to increase prediction accuracy and decrease bias using large socially relevant datasets. She has received several scholarships at UTA to support her research and has worked as a Graduate Research Assistant under an NSF grant. At the time of the publication of this work, she has published three papers including a journal paper. She is interested in deep learning, machine learning, artificial intelligence techniques, databases, software engineering, algorithms, and programming languages. In addition to research, she serves as an Adjunct Professor in the Computer Science Department at the University of Texas at Arlington since January 2019. In her teaching, her interests lie in expediting learning and increasing retention. In the classroom, she strives to create an open, inclusive, and equal environment in which all students have the opportunity to reach their true potential.