Batool A. Email & Phone Number

Durham, Nc, Us

New York, Ny, Us

New York, Ny, Us

New York, Ny, Us

Passed PhD Qualification exam on May 2018- Developed prototype in MATLAB to determine feasibility of detecting motion activated abnormalities of the wrist by modeling articulated joint motion through segmentation and analysis of 4D MRI time series - Designed and developed an easy-to-use click and point style OS-agnostic UI using MATLAB to allow clinicians to compare and validate segmentation data and produce their own visualizations - Processed raw clinically-acquired MRI data of neonatal brain scans and synthesized existing frameworks to quantify and analyze volumetric property changes in scans over time and across populations then translated these analysis into large intuitive graphs and visuals for easy interpretation by clinicians- Conducted extensive manual pre-processing via analysis of over 500 raw DICOM images and medical records to ensure an accurate and quality controlled database for immediate and future analysis - Collaborated with research clinicians from NYU Langone’s Radiology Department to process quantitative structural scans using spatial and appearance cues to conduct reproducibility analysis for a novel MRI acquisition techniqueListen to one of my first attempts at translating my research into colloquial English in this interview by Annie Brinich for her podcast 'The Future Of': The Future of Medicine: Imaging & Delivery Systems http://tfopodcast.libsyn.com/the-future-of-medicine

New York, New York, Us

Taught one section of undergraduate level Discrete Mathematics and one section of the same of Combinatorics

Seattle, Wa, Us

- Computed zero-shot performance of foundation models like CLIP to benchmark accuracy for task-specific datasets given the similarity of content and image style to the foundation model’s training data- Investigated the performance improvement wrought by different finetuning techniques such as weight ensembles, residual adapters and model patching as weighed against the loss in generality, portability and reusability - Analyzed the significance and effects of prompt engineering using templatization strategies such as incorporating demographic qualifiers and image content descriptors into text captions, and documented the tradeoff between computational overhead and increased performance alongside my recommended configurations - Created an annotated bibliography summarizing the contents, results and my impressions of all relevant research read, studied and used to provide context and information for my work-related choices

Palo Alto, California, Us

- Implemented a post production module in C++ that incorporated spatial information to refine label maps generated by the CNN used in the Perception team’s image segmentation pipeline- Developed an RAII-compliant wrapper for an open source library with appropriate unit tests to ensure seamless integration of the existing C++ Tensorflow-based production pipeline with the Eigen-based open source library- Researched, evaluated and presented a survey of state-of-the-art techniques and methodological derivatives for the existing semantic segmentation architecture and drafted a roadmap of iterative developments for continual evolution- Implemented a Python-based prototype for exploratory analysis on a subset of sample data to validate hypothesis and several Jupyter Notebook-based scripts for documentation and quick visualization of the experimental method

New York, New York, Us

Taught four sections of an undergraduate course in Discrete Mathematics Course Description: http://bulletin.engineering.nyu.edu/preview_course_nopop.php?catoid=15&coid=37727

Palo Alto, Ca, Us

- Updated production code by performing code reviews to fix and optimize the pipeline as needed- Computed 3D point-cloud reconstructions through an incremental structure-from-motion system to allow for occlusion agnostic tracking of planar objects within video scenes - Built a tracking system that estimated intrinsic camera parameters to compute 3D reconstructions of any scene from unseen videos found in the wild - Engineered a proof-of-concept system using video tracking from incremental SfM to demonstrate a post-production pipeline for dynamic ingrained product placement of augmented media

Lahore, Punjab, Pk

RFLP image analysis for HCV genotyping

Islamabad, Pk

Tutorials and coursework evaluations for undergraduate course in Data Structures

Part time job tutoring 5th Grade mathematics

Individually built a variable frequency biothesiometer using STM32F4 Discovery Board. Also studied the Thyroid Diagnostic System in implementation at the SIMS hospital to discuss strategies for integrating increased automation

Facilitated development of in-kernel OS primitives in Ubuntu Linux that were meant to improve CPU efficiency and performance for Big Data computations by streamlining IO operations

Doctor Of Philosophy (Phd), Computer Science

Master Of Science - Ms, Computer Science

Bachelor’S Degree, Computer Science

High School