Serge Assaad, Ph.D. work email
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Serge Assaad, Ph.D. personal email
I am a scientist passionate about machine learning (ML) and its applications to impactful problems.At Waymo, I am designing scalable, fast, accurate, and robust ML models for autonomous driving.Through my Ph.D. research, I am also an expert in ML for causal inference and ML for digital pathology.
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Senior Research ScientistWaymoNew York, Ny, Us -
Research ScientistWaymo Feb 2023 - PresentMountain View, California, Us
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Graduate Research AssistantDuke University Aug 2018 - Mar 2023Durham, North Carolina, Us- Built a deep learning-based Conditional Average Treatment Effect model using balancing weights to balance covariate distributions. Published at AISTATS 2021.- Derived treatment effect bounds under unobserved confounding. Published at ICML 2021 (Workshop).- Built deep learning systems for digital pathology (thyroid & prostate cancer risk stratification). Published in Archives of Pathology & Laboratory Medicine and Medical Image Analysis. -
Research InternWaymo Sep 2021 - Dec 2021Mountain View, California, Us- Developed a rotation-equivariant Transformer model for 3D point-cloud classification and trajectory prediction.- Investigated fusion mechanisms for non-spatial attributes.- Proposed an equivariant pooling mechanism to speed up training and inference runtime.- Provided a theoretical description of equivariance violation propagation through deep networks.
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Applied Scientist InternAmazon Jun 2021 - Sep 2021Seattle, Wa, Us -
Applied Scientist InternAmazon May 2020 - Sep 2020Seattle, Wa, Us
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Teaching AssistantDuke University May 2015 - May 2018Durham, North Carolina, UsHeld various TA positions in Math & ECE as an undergraduate:- Math TA: Data Analysis & Decision Science (Fall 2017, Spring 2018)- ECE TA: Intro to Circuits (Fall 2016)- Math Lab Instructor: Calculus II (Fall 2015)- Math Help Room TA: Multivariable Calculus, Calculus I&II, Linear Algebra (Summer 2015)
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Data Science InternInformation Initiative At Duke, Data+ May 2017 - Jul 2017- Collaborated with physicians and academics to perform feature extraction from Doppler ultrasound signals- Developed Machine Learning models to predict vascular anomalies from signals- Presented at Society for Clinical Vascular Surgery (SCVS).
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Medical TechnicianEngineering World Health May 2016 - Jul 2016Durham, North Carolina, UsRepaired medical equipment, including centrifuges, autoclaves, IV fluid pumps, and laparoscopic surgery units for the Cruz Azul hospital in Masaya -
Student Athlete TutorNcaa Jan 2016 - May 2016Indianapolis, In, UsTutored Student-Athletes in Linear Algebra (MATH 221).
Serge Assaad, Ph.D. Skills
Serge Assaad, Ph.D. Education Details
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Duke UniversityElectrical And Computer Engineering (Machine Learning) -
Duke UniversityElectrical And Computer Engineering
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Duke UniversityMathematics Minor
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Lycée Français International Georges PompidouScience - Focus In Mathematics
Frequently Asked Questions about Serge Assaad, Ph.D.
What company does Serge Assaad, Ph.D. work for?
Serge Assaad, Ph.D. works for Waymo
What is Serge Assaad, Ph.D.'s role at the current company?
Serge Assaad, Ph.D.'s current role is Senior Research Scientist.
What is Serge Assaad, Ph.D.'s email address?
Serge Assaad, Ph.D.'s email address is se****@****uke.edu
What schools did Serge Assaad, Ph.D. attend?
Serge Assaad, Ph.D. attended Duke University, Duke University, Duke University, Lycée Français International Georges Pompidou.
What skills is Serge Assaad, Ph.D. known for?
Serge Assaad, Ph.D. has skills like Public Speaking, Research, Matlab, Powerpoint, Assistant Teaching, Academic Tutoring, Microsoft Excel, Teamwork, English, Topological Data Analysis, Statistical Data Analysis, Microsoft Office.
Who are Serge Assaad, Ph.D.'s colleagues?
Serge Assaad, Ph.D.'s colleagues are Thomas Moore, Zhibo Yang, Vasil Tasovski, John Abejo, Wallace Chen, Arjun Sahota, Yue Wu.
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