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About Me:

Hi, I am a 2nd year MS student at the University of Pittsburgh School of Computing and Information. I am studying Information Science which is a combination of coursework in computer science and data analytics/science. I am interested in using for mathematical/statistical modeling to find solutions to problems or gain information. My undergraduate degree was in Physics where I did research in computational quantum mechanics. I aim to augment my computational physics background with my MS coursework and enter a career of data analytics/machine learning and software engineering. For more information on my academic and work experience, my LinkedIn is linked below.

In parallel to my academic and professional career I have also been playing lacrosse. I had the opportunity to play in college and then continued on to play internationally and professionally. For information on this other side of my life click on my athletics page.

I have an eclectic taste in hobbies. I enjoy PC gaming which is almost exclusively Blizzard games (right now I play Starcraft II). I also enjoy Magic the Gathering, smoking meat, skiing, hiking, running, working out, caring for plants, etc.

LinkedIn

Masters Courses Taken: Algorithm Design, Data Analytics, Database Management Systems, Enterprise Cloud Computing (AWS),Machine Learning, Cloud Computing (Hadoop, Spark, Cassandra, Docker), Artificial Intelligence (CoreNLP, Word2Vec)

Current Courses: Web Technologies and Standards, Information Storage and Retrieval, Advanced Topics in Machine Learning: Integrating Scientific Theory with Machine Learning, Intro to Deep Learning (Carnegie Mellon University)

Course Schedule:
Time Monday Tuesday Wednesday Thursday Friday
9:00 - 10:00 AM Introduction to Deep Learning Advanced Topic in Machine Learning Introduction to Deep Learning Advanced Topic in Machine Learning Introduction to Deep Learning - Recitation
10:00 - 11:00 AM
11:00 AM - 12:00 PM
12:00 - 1:00 PM Information Storage and Retrieval
1:00 - 2:00 PM
2:00 - 3:00 PM
3:00 - 4:00 PM Workout Workout Workout
4:00 - 5:00 PM Lacrosse Training Lacrosse Training Lacrosse Training
5:00 - 6:00 PM
6:00 - 7:00 PM Web Technology and Standards
7:00 - 8:00 PM
8:00 - 9:00 PM