Worked on Hodgkin, a brand new platform that helps scientists accelerate drug discovery by using machine learning to predict antibody–protein interactions

• Accepted publication in 2022 IEEE International Conference on Intelligent Robots and Systems as 4th author

• Worked under Ron Alterovitz to analyze and generate 3D model of bronchoscope needle and enhance the user interface

• Assisted in research finding best start position for medical steerable needle automation using backwards planner to create safest entry point

• Established validity of specific starting positions on surface on bronchial tree using neural network model

• Classify starting positions as feasible/non-feasible based on point cloud model representing bronchial tree

• Worked as the researcher under Mahka Moeen to analyze a series of newspapers articles and used Hierarchical Dirichlet Processes (HDP) to perform a topic analysis on over 2100 newspapers based on publication date

• Conducted key preprocessing techniques with NLTK and Pandas to convert article information into a useful format based on word type and importance

• Used TF-IDF vectors to analyze 2100 newspaper articles to determine relative word importance

COMP 411: Computer Organization

• Taught students about C programming and MIPS architecture

• Assisted professor in preparing instructional material such as creating plans for upcoming labs and assignment