Benjamin Weiser Email & Phone Number

Montreal, QC, CA

Montreal, Quebec, Canada

Intern at Molecular Forecaster with MITACS Accelerate Fellowship working on AI/ML solutions

Montreal, Quebec, Canada

• TEACHING PROGRAMMING, DEEP LEARNING, AND CHEMISTRY
• Teaching assistant for Intro to Phys Chem 2 and Phys Chem for Biological Sciences, lead labs and tutorials. Created intro lesson for Python
• Assisted in teaching for McMedHacks, an 8-week-long program that aims to teach students and researchers fundamentals of medical image analysisand deep learning in Python

Montreal, Quebec, Canada

• Machine Learning for Computational Chemistry: Started as a Graduate researcher in October 2021, before formally starting my MSc Dec 2021.
• Alongside Dr. Nicolas Moistessier, developing ML tool for computer-aided drug design distributed by Molecular Forecaster company
• Implementing deep learning for ligand-protein pose estimation
• ML for CYP activity prediction enhanced by docking software
• Focus on combining ML/DL algorithms and chemical knowledge to achieve practical, accurate results which can be applied to the drug designprocess

Ottawa, Ontario, Canada

• Physics Research, Computational Simulation and Analysis:
• Created and simulated proposed method to determine coprecipitation yield by Alpha counting. Computational analysis and simulation was suc-cessful giving constants and distributions essential for execution of method
• Used mathematical and computational techniques to determine the alpha energy spectrum expected for our sample allowing for a novel alphacounting method

Ottawa, Ontario, Canada

• Physics/Chemistry Research, Accelerated Mass Spectrometry:
• Alongside research associate Dr. Carlos Vivo-Vilches, developed novel method for assay of ultra trace amounts of radioactive nuclides using accel-erated mass spectrometry
• Created chemical procedure for material digestion and AMS target fabrication
• Installed, tested and used new expensive and complex microwave digestion system
• Work was presented by Dr. Razvan Gornea at the McDonald Institute National Meeting

Ottawa, Ontario, Canada

• Physics Research, Experimental Particle Physics:
• Alongside professor Dr. Gornea Razvan, researched, designed, and performed a novel experiment under EXO-200 to observe the range of a lowenergy electron
• Developed a complete model and software to predict experimental results
• Tested and assessed feasibility and accuracy of using various metals for thin layer vacuum evaporation depositions
• Constructed modifications to vacuum chamber, as well as developed an apparatus to stabilize a delicate LED while ensuring it remained boththermodynamic and electrostatically stable allowing for much increased.

Doctor Of Philosophy - Phd, Computational Chemistry

PhD focusing on AI/ML for computational chemistry in drug design. My thesis project aims to create models for the prediction of CYP.

Bachelor Of Science - Bs, Chemistry And Physics, 11.19/12

Activities and Societies: Vice-President on Physics Society, Physics Representative for Carleton Science Student Society Graduated with.