Associated Phone Numbers

Associated Email Addresses

• xxxxxxxxxxx@gmail.com
• xxxxxxxxxxxx@brighamandwomens.org
• xxxxxxxxxxxx@hotmail.com
• xxxxxxxxxxxxx@brighamandwomens.org
• xxxxxxxxxxxxx@yahoo.com
• xxxxxxxxxxxxxxxxx@gmail.com
• xxxxxxxxxxxxxxxxxx@gmail.com

Jobs

• Brigham and Womens Hospital

Education

• Activities and Societies: • founded the First Official Campus-wide Association for Nepali Students, Creating a Supportive Community and Network That Fosters Cultural Exchange and Student Engagement. • served As a Senator in the Graduate Student Government, Assessing the Needs of Graduate Students and Mediating Between Students and University Offices, Resulting in Improved Communication and Addressing Key Issues to Enhance the Overall Graduate Student Experience. • developed and Deployed a Just-in-time Adaptive Intervention Using Ml, Hci, Behavior Psychology, and Mobile Development to Promote Physical Activity Among Individuals With Spinal Cord Injury, Incorporating Real-time User Feedback and Interaction, Resulting in Enhanced User Engagement and Physical Activity Levels. • applied Advanced Transformer Architectures to Analyze Wearable Time Series Data, Developing a State-of-the-art Physical Behavior Monitoring System Currently Used by The… Show More • developed and Deployed a Just-in-time Adaptive Intervention Using Ml, Hci, Behavior Psychology, and Mobile Development to Promote Physical Activity Among Individuals With Spinal Cord Injury, Incorporating Real-time User Feedback and Interaction, Resulting in Enhanced User Engagement and Physical Activity Levels. • applied Advanced Transformer Architectures to Analyze Wearable Time Series Data, Developing a State-of-the-art Physical Behavior Monitoring System Currently Used by the Nih/nhanes, Improving the Accuracy and Reliability of Physical Behavior Assessments. • created a Self-supervised Foundational Model for Accelerometer Data, Facilitating Sleep Monitoring for Users With Budget Wearables and Analyzing Vast, Existing Unlabeled Accelerometer Datasets, Widening Access to Health Insights. • utilized Microsoft Azure for Scalable Data Processing and Model Deployment, Ensuring Reliable and Efficient Handling of Large Datasets. Show Less
• Application of Deep Learning for Medical Imaging: Predicting Alzheimer’s Disease Progression With a Fine-tuned Alexnet Model and Mri
• Innovative Graph-based Neural Modeling for Eeg Analysis in Brain-computer Interfaces