Daniel Platnick Email & Phone Number

Toronto, ON, CA

Working with Flybits and MIT Media Lab. Researching neuro-symbolic methods for Perspective-Aware Ai and augmented eternity.September 26, 2024:Our paper "Perspective-Aware Ai (PAi) for Augmenting Critical Decision Making" in collaboration with MIT Media Lab was published at the IEEE High Performance Extreme Computing Conference.December 2, 2024:Our paper.

Supervised by Rick Valenzano. Researching deep learning and automated planning.Conference Publication (long paper with oral):GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics DataVenue: 37th Canadian Artificial Intelligence Conference (CAIC)Paper: https://caiac.pubpub.org/pub/0hhra7j6/release/1In this paper, we set.

• CPS109 (Intro to Python programming) and CPS118 (Intro to programming for scientists)
• Presented and explained computer science topics to groups of 30-40 students per weekly lab
• Created and graded weekly lab reports and quizzes
• Created custom presentations and slides

Affiliated with Rick Valenzano.Workshop Publication (short paper with oral):Expected Runtime Comparisons Between Breadth-First Search and Restarting Random WalksVenue: 34th International Conference on Automated Planning and Scheduling (HSDIP Workshop)Paper: https://icaps24.icaps-conference.org/program/workshops/hsdip-papers/paper_12.pdfIn this paper, we.

• My team invented Preset-Voice Matching, a framework for creating privacy-regulated S2ST systems.I was the principal investigator, leading the project from start to finish.Our work was published at ACL 2024. ACL.
• Designed, motivated, and distributed tasks for… Show more My team invented Preset-Voice Matching, a framework for creating privacy-regulated S2ST systems.I was the principal investigator, leading the project from start.
• Designed, motivated, and distributed tasks for 8 data scientists and ML engineers
• Architected and directed the design and development of a deep cascading S2ST system
• Led the R&D of vector embeddings to match an input voice to the most similar voice in a database
• Hosted standup meetings, gave weekly team updates, collaborated with CTO and technical advisors

• Supervised by Nariman Farsad.Conference Publication (long paper with poster):Deep Unfolding for Iterative Stripe Noise RemovalVenue: 2022 International Joint Conference on Neural Networks (IJCNN)Paper.
• Published a state-of-the-art image denoising algorithm based on deep unfolding
• Created data pipelines for unstructured EEG brain signal and image datasets
• Weekly meetings communicating research updates to… Show more Supervised by Nariman Farsad.Conference Publication (long paper with poster):Deep Unfolding for Iterative Stripe Noise RemovalVenue: 2022 International Joint.
• Weekly meetings communicating research updates to supervisor and PHD student
• Extracted ResNet50 model latent representations for SVM classification experiments

Toronto, Ontario, Canada

Got a taste of the corporate experience.

Master Of Science - Msc, Computer Science (Thesis), 4.25/4.33

Supervised by Rick Valenzano. Thesis on helping combinatorial search algorithms escape uninformative regions of high-dimensional.

International Economics And Finance, Ba

Dean's List (2020-2021) Ryerson Table Tennis A-Team (2018-2019) Rank 1 for Ryerson Super Smash Brothers Melee (2017-2020) Courses: ECN129.