Alex Benjamin Email & Phone Number

Cambridge, MA, US

Basel, Baselstadt, CH

Basel, Baselstadt, CH

Montreal, Quebec, CA

• Developed a hybrid (deep learning and physics‑based) model to predict and mitigate the visual symptoms associate with age‑related macular degeneration (AMD).
• Developed novel deep learning models for: OCT retinal layer segmentation, fundus anomaly segmentation, ophthalmology image classification (fundus and OCT) and AMD disease progression.
• Formulated a human‑subject centered experimental protocol (clinical and pre‑clinical) for ethics committee approval.
• Facilitated the creation of broad partnerships with optometrists and ophthalmologists for the acquisition and analysis of medical data.
• Conducted a review of existing intellectual property in the space of AI‑powered diagnostics (low‑vision applications) and generated a viable path for provisional and full patents
• Interfaced with regulatory and reimbursement consultants for FDA and Health Canada classifications and approval.

Boston, MA, US

• Developed a robust machine learning framework to diagnose and stage NAFLD based using serological and ultrasound biomarkers.
• Formulated a deep learning framework to estimate in vivo sound speed distribution using a commercial ultrasound probe.
• Created and validated numerical acoustic simulations for multiple ultrasound transducers operating in tandem.
• Relevant

Cambridge, MA, US

• Project: 3D Sound Speed Mapping in Biological Tissue
• Implemented a visual-inertial SLAM algorithm to estimate the pose of an ultrasound probe in a clinical setting.
• Synthesized a novel, bag-of-words style dictionary for anatomical features (blood vessels) to facilitate scene recognition and loop closure.
• Applied the principles of seismic reflection tomography to estimate 2D sound speed distributions in soft-tissue.
• Developed a feedback-driven framework for 3D sound speed and organ volume mapping (with uncertainty quantification) using freehand ultrasound scans.
• Relevant

• Developed a medical device (a combination of a 3D camera, a projector, and an ultrasound machine) to guide doctors in needle injections by displaying the underlying anatomy and needle trajectory directly onto the.
• Implemented novel algorithms for pattern recognition, 3D pose estimation, image segmentation, 3D reconstruction, and image interpolation.
• Designed and built hardware for 3D camera, projector, infrared filters, infrared illumination, and a single-board computer.
• Demonstrated a prototype to investors, anesthesiologists, and ultrasound experts; secured funding in the MIT 100K Competition.
• Relevant

• Project: Turbulent Flow-Field Modeling and Optimal Path Planning for Autonomous
• Developed Reynolds Averaged Navier Stokes (RANS) and Large-Eddy Simulation (LES)-based models of turbulent oceanic flows.
• Identified and isolated Lagrangian Coherent Structures (LCS) in turbulent, double-gyre flow fields.
• Implemented algorithms to identify optimal trajectories for swarms of autonomous marine agents in turbulent oceanic and doublegyreflow fields.
• Relevant

Philadelphia, Pennsylvania, US

• Project: Numerical Modeling and Characterization of Minimal Surfaces
• Formulated a 2D and 3D mesh processing package based on the principles of discrete differential geometry.
• Developed and compiled an open-source library of functions for mesh refinement, relaxation, and modification; library includedroutines for boundary extraction, curvature estimation and computation of normals.
• Created a numerical framework to model the dynamic behavior of minimal surfaces (soap films) under the effects of surface tension.
• Relevant

Doctor Of Philosophy - Phd, Mechanical Engineering And Computational Science And Engineering

Master Of Science - Ms, Computation For Design And Optimization

Master Of Science - Ms, Mechanical Engineering