ML Technical Lead in shipping adapted LLMs in Apple Intelligence Memory Movies: https://www.youtube.com/watch?v=EcHUOKPDMFUUser behavior model development with private federated learningLearning Iconic Scenes and Places with PrivacyPrivate Federated Statistics in an Interactive SettingSamplable Anonymous Aggregation for Private Federated Data AnalysisApplied Science, Data Science, Machine Learning, Computer Vision, Privacy, Graph Learninghttps://machinelearning.apple.com/research/scenes-differential-privacyhttps://patents.google.com/patent/US20210192078A1/https://arxiv.org/abs/2211.10082https://patents.google.com/patent/US20220392219A1/https://arxiv.org/abs/2307.15017

- Python, SQL, Tensorflow, Keras, AWS, bash- Model development: (un)supervised machine learning, computer vision, convolutional neural networks, clustering- Quantifying A/B testing (t-testing, bootstrapping)- Product development- Visualizing large high dimensional datasets- Experience as both full-time employee and part-time remote employee

o Li-ion battery project collaboration with Tesla Motors and Dalhousie Universityo Combining machine learning (supervised and unsupervised) with electron microscopyo Principal components analysis, independent component analysis, and convolutional neural networks

Re-designing and teaching the project-based course MATLS 2H04o Given a creative carte blanche by my department to create a project course for 2nd year studentso The curricula I designed incorporates: team work, problem solving, and time management skills by using CAD, FEA and 3D printing to design ideal domes that will go on Marso The theme of the course chosen was to teach the students of the importance of prototyping and iterationo Gave weekly lectures and assisted in developing the student’s ideas into prototypes

Undergraduate senior industry project. Solving a problem in manufacturing by analyzing plant datao Led a team of four other undergraduates as a senior design projecto Rigorous statistical analysis of data from assembly line to determine the cause of the problemo Design of experiments to support hypotheseso Awarded The University Prizes for Special Achievement for exceptional originality and creativity in solving an engineering problem in an industry project

Working in the Institute of Radiopharmaceutical Cancer Research as part of a RISE-DAAD scholarship. Dr. Holger Stephan & Dr. Karina Pombo-GarciaCreating multimodal nanoprobes capable of attaching themselves to epidermoid carcinomas- Analytical chemistry (HPLC, size-exclusion chromotography, TLC)- Characterization (HRTEM, UV-Vis, DLS, Zeta Potential, NMR)Final probes tested in vitro on tumor cells and in vivo on mice with xenografted human tumors

Simulations of nanomaterial thermodynamics with Dr. Jeff Hoyt.- Monte Carlo- Molecular Dynamics, Embedded Atom Method (EAM), LAMMPS- Utilizing Python for data indexing and calculations- Running simulations on the Linux based server cluster network SHARCNET

Senior thesis at the Canadian Centre for Electron Microscopy with Dr. Gianluigi Botton and Dr. Sagar Prabhudev- Thesis completed two years early (first in department history)- Trained in conventional TEM- Heat treating bimetallic nanoparticles- Elucidating mechanisms for nanoscale phase separation- Signal unmixing using least-squares algorithms

Testing of light weight alloys with automotive applications with Dr. Joe McDermid and Dr. Joey KishMaterials Characterization (electron diffraction, energy dispersive x-ray spectroscopy, scanning transmission electron microscopy, scanning electron microscopy, polarization curves,)Materials Testing (fractography, salt fog testing, immersion tests, tensile tests)