Adibvafa Fallahpour Email & Phone Number

Canada

Canada

Toronto, Ontario, Canada

• Youngest intern to join the AI Engineering Team at Canada's leading AI research institute.• Developing a novel Foundation Model using Transformers in PyTorch on Electronic Health Records that outperforms state-of-the-art models in various healthcare prediction tasks.

Toronto, Ontario, Canada

• Leading machine learning integration with quantum chemistry to pioneer advanced 3D modeling of photocatalytic structures, driving innovation in global water purification technologies.

Toronto, Ontario, Canada

• Developing SOTA medical agents under supervision of UHN's Chief AI Scientist, Professor Bo Wang.

• Researching safety and performance of Electronic Health Records (EHR) foundation models.

Toronto, Ontario, Canada

University Of Toronto

Toronto, Ontario, Canada

• Won "Best Model" out of 400+ teams across 50+ countries in iGEM, the world's biggest synthetic biology competition.• Developed a machine learning model to generate novel plasmid sequences with antimicrobial properties, and released the largest toolkit of its kind to build plasmid foundation models.• Ranked top 10 globally in the overgrad category.

Toronto, Ontario, Canada

• Founded Canada's Largest AI Hackathon.

Toronto, Ontario, Canada

• Selected by Google to bring "Google Developer Student Clubs" to UTSC, leading student growth in tech, fostering unity, and driving community impact through solving real-world problems.• United 8 GDSCs from the Pacific to the Atlantic to host DevFest Canada, the largest collaboration of GDSCs in Canadian history, and UTSC's preeminent tech conference.

Iran

Tehran, Iran

• Researching cancer detection using contrastive learning of pathology and radiology images.

Toronto, Ontario, Canada

Our project preprint is out! Check https://adibvafa.github.io/CodonTransformer• Saved thousands of dollars and increased production efficiency by 33% in the biotech industry by employing Transformers with PyTorch and Hugging Face to pioneer a novel approach for codon optimization.• Accelerated research progress by processing large-scale datasets using Bioinformatics Databases, Bash scripting, and Pandas.• Spearheaded an international collaboration under Dr. Pandi (France) & Prof. Filion (Canada), showcasingstrong problem-solving, teamwork, communication skills, and leading to the imminent publication of innovative findings.

Toronto, Ontario, Canada

• Led RadioCare, a cutting-edge AI in Healthcare research focused on using Vision Transformers on analyzing radiology images, in the '24 cohort of "Let's Solve It" program.

Toronto, Ontario, Canada

• Led the Large Language Model (LLM) subteam in project NucleAIse, aimed at predicting protein functions and Gene Ontologies (GO) using protein sequences, structure, taxonomy, and interactions.• Achieved the 2nd prize rank among 70+ nationwide AI projects in Canada's largest AI Conference, CUCAI 2024.

Toronto, Ontario, Canada

Toronto, Ontario, Canada

• Showcased a unique application of machine translation, and unlocked novel insights for bran-machine interfaces, by developing a Transformer-based NLP model to translate brain activity to body movements in Zebrafish.• Leveraged PyTorch Lightning and OpenCV to develop an image autoencoder based on Residual Networks and Convolutional Neural Networks, achieving a 92% compression ratio on brain activity images, and saving terabytes of disk space.

University Of Toronto

Toronto, Canada

Iran

Iran

Bachelor Of Science - Bs, Computer Science & Neuroscience

High School Diploma, Experimental Science

National Biology Olympiad Training Camp, Computational Biology