Razi Mahmood

About Me

I am a graduate student at Rensselaer Polytechnic Institute studying multimodal machine learning for medical imaging and beyond in the BME Department. Prior to this, I was an undergraduate at UC Berkeley Data Science majoring in data science with a domain emphasis on cognition.

I am a team-oriented research-focused graduate student with data science internship experience to solve real-world problems ranging from IT Ops, Neurotech, e-Commerce to Healthcare. I have used statistical and deep-learning-based AI models in NLP, computer vision, and medical imaging. I am interested in basic exploratory data analysis, particularly to answer research questions. I am also interested in interfacing with domain experts to learn new topics, analyze their data and communicate the findings to the corresponding business stakeholders.

Throughout undergraduate and high school, I have done several data science and CS projects in various domains ranging from medical imaging, computer vision, NLP, and population health. For a concise summary, please see my CV.

Education/Courses Taken

Ph.D in Machine Learning, Dept. of Biomedical Engineering, Rensselaer Polytechnic Institute (RPI), started August 2023.

B.A. Data Science, University of California, Berkeley, May 2022

Studied Data Science with a domain emphasis in Cognition at UC Berkeley.

Here are the relevant courses I’ve taken in past semesters that are related to my experiences studying within the Data Science and Computer Science fields.

In addition, I have taken a few courses in machine learning and cloud computing on Coursera.

Skills

Research/Academic Experience

Summer Internships

Projects

Over the last 7 years, I have done several projects covering data science and general CS areas. The projects done as part of work experience are proprietary and details are provided in the attached presentations. For projects done in open source or freelance, GitHub links are provided where possible for code.

Data Science Projects

CS Projects

Film Projects

Publications

1. R. Mahmood, Ge Wang, Mannudeep Kalra, Pingkun Yan, “Fact-Checking of AI-Generated Reports,” in Proc. Machine Learning for Medical Imaging (MICCAI Workshop), Vancouver, BC, Canada October 2023.
2. R. Mahmood, X. Liu, A. Xu, R. Akkiraju, “ContrastBERT: Supervised Contrastive Learning of BERT-Encoded IT logs for Anomaly Classification,” in Proc. IEEE Big Data Conference Workshop on Knowledge Discovery in Data Mining on IT Operations. Osaka, Japan, Dec. 2022.
3. N. Shrivastava, R. Mahmood, T. Syeda-Mahmood, “Spatially-preserving flattening in deep learning for location-aware classification,” in Proc. International Symposium on Biomedical Imaging, Kolkata, India, March, 2022.
4. R. Mahmood, T. Syeda-Mahmood, “Automatic detection of left ventricular aneurysms in echocardiograms,” in Proc. International Symposium on Biomedical Imaging (ISBI), New York, April 2015. See local copy.
5. R. Mahmood, T. Syeda-Mahmood, ”Automatic detection of dilated cardiomyopathy in cardiac ultrasound videos,” in Proc. American Medical Informatics Association (AMIA) Annual Conference, Washington, D.C., November, 2014. See See local copy.

Contact

• Facebook
• LinkedIn
• GitHub

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