I'm an enthusiastic master's student at Toronto Metropolitan University interested in data science, NLP, mathematical modeling, and everything to do with computer vision and artificial intelligence. Always looking for more opportunities to get my hands dirty.
Download my CVFront-end designing and implementing, back-end engineering, database managing, app scaling and optimizing.
Data collecting, exploring, processing and analyzing. Model planning, implementing and parameter tuning.
Mathematics, probability, and statistics tutor; sports coach. Engaging further learning and unlocking performance.
My main interests are in AI, computer vision and NLP, particularly in legal and healthcare fields. I and am quite excited to contribute to this rapidly growing industry. Health and legal data presents so many unique challenges, and the possibilities of how AI can enhance patient care and client needs seem limitless.
I have extensive experience designing, training, and validating machine learning models. I'm a confident programmer with R and Python. Notably, I am very comfortable with PyTorch, Caret, Tensorflow, Keras, and Cuda. Good machine learning scientists understand the data they are working with, so I've also been sure to develop my skills as a data scientist, and have experience working with large, messy clinical and legal datasets.
At McMaster, I've taken many courses to lay foundations and build my skills. I've taken courses on data science, mathematical coding, and statistical model validation and construction. I continue to apply the theoretical skills I've learned throughout my degree every day in my many projects. I have recently completed the requirements for my Master's of Engineering at TMU.
GitHub LinkedinOCTess is a novel computer vision tool that utilises Google's open source OCR engine Tesseract with AI to efficiently and precisely extract data. Click here to check it out.
The Subfoveal Bleb Segmentation Algorithm can automatically quantify the amount of fluid in a diseased retina. Click here for the code.
I created a vision transformer leveraging pytorch and real patient data and trained it to detect common retinal diseases. Click here to check it out.
I have created and deployed a large-scale database app for users to edit and observe their patient's health records and retinal scans online. Click here for the GitHub code.
Yup, I coded this website up using HTML, CSS and JavaScript. Click here to find the code for this website on my GitHub.
New Data sets are abundantly found and collected everywhere nowadays. I love delving deep into data and discovering the stories that they have to to tell. Click here for some examples of what I've done.
Julie Midroni, HBSc, Jack Longwell, HBSc, Nishaant Bhambra, MD, Sueellen Demian, MD, Aurora Pecaku, MD, Isabela Martins Melo, MD, Rajeev H. Muni, MD, MSc
Under review at Ophthalmology Science
Jack Longwell, HBSc, Mahdiyar Ali Akbar Alavi, BEng, Fattane Zarrinkalam, PhD, Faezeh Ensan, PhD
Presented at Association for Computing Machinery Speacial Intrest Group on Information Retrieval in the Asian Pacific, 2024
Jack B Longwell, HBSc, Ian Hirsch, MD, MSc, Fernando Binder MD, Galileo Arturo Gonzalez-Conchas, MD, Daniel Mau, HBSc, Raymond Jang, MD, MSc, Rahul Krishnan, PhD, Robert C Grant, MD, PhD
Published in Journal of the American Medical Association Network Open, 2024
Paola L. Oquendo, MD, Natalia Figueiredo, MD, Carolina L. M. Francisconi, MD, Verena Juncal, MD, Samara Marafon, MD, Sumana C. Naidu, MD(C), Isabela Martins Melo, MD, Jack Longwell, HBSc, Rajeev H. Muni, MD, MSc
Published in RETINA the Journal of Retinal and Vitreous Diseases, 2024
Michael Balas, MD(C); Josh Herman, MD(C), Nishaant (Shaan) Bhambra, MD, Jack Longwell, HBSc, Marko M Popovic, MD, MPH(C), Isabela M Melo, MD, Rajeev H Muni, MD, MSc
Published in RETINA the Journal of Retinal and Vitreous Diseases, 2023
Jack B Longwell, HBSc, Ian Hirsch, MD, MSc, Fernando Binder MD, Galileo Arturo Gonzalez-Conchas, MD, Raymond Jang, MD, MSc, Rahul Krishnan, PhD, Robert C Grant, MD, PhD
Presented at the American Society of Clinical Oncology Quality Symposium, 2023
Julie Midroni MD(C), Jack Longwell, HBSc, Nishaant (Shaan) Bhambra, MD, Isabela M Melo, MD, Rajeev H. Muni, MD, MSc
Presented at the 11th VBS Annual Meeting
I am always interested in hearing about new ideas in AI and statistics. If you have a project that you would like to reach out to me about, then please, send me an email at the address below or use the "Message me" box on this page.