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Elham E Khoda Email & Phone Number
Assistant Professor of Teaching
at
The University of British Columbia
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✓ Verified May 2026
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Profile completeness 86%
Current company
Role
Assistant Professor of Teaching
Location
San Diego, California, United States
Who is Elham E Khoda? Overview
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Elham E Khoda is listed as Assistant Professor of Teaching at The University of British Columbia, based in San Diego, California, United States. AeroLeads shows a matched LinkedIn profile for Elham E Khoda.
Elham E Khoda previously worked as Computational Data Science Research Specialist at San Diego Supercomputer Center and Affiliate Researcher (Visiting Post-doc) at Berkeley Lab. Elham E Khoda holds Doctor Of Philosophy - Phd, Physics, 94% from The University Of British Columbia.
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About Elham E Khoda
I am a passionate data scientist and Machine Learning researcher with an insatiable curiosity for unraveling the mysteries of the universe and translating complex concepts into actionable insights. Here's a glimpse of my journey so far:From India to Canada: I grew up in the vibrant, culturally rich landscapes of India, where my fascination for science was ignited.PhD in Canada, Quest for Knowledge: My academic journey led me to Canada, where I pursued a Ph.D. in experimental particle physics in the ATLAS experiment of the Large Hadron Collider at CERN to understand the origin of the universe better. My time in Canada not only honed my scientific skills but also widened my horizons, as I encountered and collaborated with individuals from all over the globe, fostering a global perspective on problem-solving and scientific inquiry.8+ Years of Data Science Expertise: My professional journey has taken me deep into the realm of data science, where I have honed my skills in data analysis and coding. With over eight years of experience, I've had the privilege of collaborating on numerous projects, spanning various domains. My expertise extends to mathematical and statistical modeling and simulations.Machine Learning Enthusiast: For over five years, I have been working with machine learning techniques to develop predictive models, enhance data-driven strategies, and solve complex problems. The ability to create algorithms that adapt and learn from data excites me. It's like teaching a computer to be curious and innovative – a pursuit that aligns with my own character.Beyond Data, I am an Explorer: Traveling is not just a hobby; it's a way of life. I cherish the opportunity to experience diverse cultures, savor local cuisines, and connect with people from all corners of the globe. It's these experiences that continually broaden my horizons and inspire my work.I am here to connect, collaborate, and contribute to the world of data science. Let's connect and explore the endless possibilities at the intersection of data, analytics, and science.#DataScience #MachineLearning #Analytics #Exploration #Collaboration #LinkedInNetworking
Current workplace
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10 roles
Elham E Khoda work experience
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Computational Data Science Research Specialist
Current
Mar 2024 - Present
Affiliate Researcher (Visiting Post-Doc)
- Performing applied ML research and developing optimized model deployment strategy.FAIR Universe: Uncertainty-aware AI for physics applications
- Goal: Drive the uncertainty-aware AI research for scientific applications. Host challenges and workshops
- Creating particle physics dataset for the challenge
- Developing the initial challenge in collaboration with the Engineers and other scientist at the with theBerkeley lab and ChalearnInference as-a-service
- Software development and validation to run inference as-a-service for particle physics applications
- Using Nvidia Triton inference server to offload ML-based algorithms to GPU.Organizer and Tutor, US ATLAS Machine Learning Training (2022 and 2023)
Mar 2022 - Mar 2024
Postdoctoral Researcher
- My research includes data analysis using ML tools, software engineering, and developing low-latency real-time AI inference framework for the data acquisition system the ATLAS detector at CERN.Real-time AI inference:
- Developing ML-algorithms in High-level Synthesis (HLS) to deploy on hardware like FPGA
- Worked on RNN (LSTM, GRU), Transformer-based models
- Application Domain: data acquisition system of physics experiments, real-time analysis of neuro dataNovel Machine Learning Algorithms for Physics
- developing novel deep learning based analysis methods for anomaly detection, particle reconstruction
- Improve particle identification using efficient Transformers like Linformer
Mar 2021 - Mar 2024
Uw Data Science Postdoctoral Fellow
Data Science Postdoctoral fellow to develop cutting-edge AI solutions for scientific problems.- Generative AI: Streamlined anomaly detection process by integrating generative models (cGAN and cVAE) in PyTorch and TensorFlow, leading to a 10x increase in significance improvement.- Data Science and ML teaching experience: Traveled to India to tech ML to.
Mar 2021 - Mar 2024
Graduate Research Assistant
- Ph.D. student in experimental particle physics. I was working with the ATLAS experiment at the Large Hadron Collider.
- Experience with large-scale data analysis.
- Contributed to several widely-cited scientific publications at the high-energy physics frontier using CERN's Large Hadron ColliderImplemented crucial particle reconstruction and analysis software in C++, Python, and.
- Modernized analysis framework to use industry-standard data science tools
- Managed processing of dozens of petabytes of particle collision data in worldwide LHC computing grid
- Regularly presented results at international conferences and internal plenary meetingsNovel Machine Learning Algorithms for Scientific problems:
Sep 2015 - Mar 2021
Bs-Ms Dual Degree
MSc in Physics- Experience of working several term projects and two summer projects.- Performed mathematical modeling using Quantum Mechanics and Special relativity to explain experimental observations.- Simulated data set to validate mathematical modeling using C++, Python, and ROOT.
Aug 2010 - Jul 2015
Summer Intern
Jun 2014 - Jul 2014
Summer Intern
Electron and Photon identification at CMS detector at LHC- Improved C++ coding skills- Developed the electron and photon identification code using C++ to analyze simulated (Monte Carlo) data of the CMS experiment at CERN- Mass of the Z-boson was reconstructed and fitted with Breit-Wigner function using C++ and ROOT software package
May 2013 - Jul 2013
Summer Intern
Theoretical Physics research on Neutrino Oscillations and Neutrino-less double beta decay.- Performed mathematical calculation of neutrino oscillation using the properties of Quantum Mechanics- Plotted the effective neutrino mass for normal and inverted ordering as a function of smallest neutrino mass using MATLAB by incorporating 2012 measurement of the.
May 2012 - Jul 2012
3 education records
Elham E Khoda education
Doctor Of Philosophy - Phd, Physics, 94%
Bs-Ms Dual Degree, Physical Sciences, 9.00
High School, Science
Ramakrishna Mission Vidyalaya , Narendrapur , Kolkata, Westbengal, India
FAQ
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Quick answers generated from the profile data available on this page.
What company does Elham E Khoda work for?
Elham E Khoda works for The University of British Columbia.
What is Elham E Khoda's role at The University of British Columbia?
Elham E Khoda is listed as Assistant Professor of Teaching at The University of British Columbia.
Where is Elham E Khoda based?
Elham E Khoda is based in San Diego, California, United States while working with The University of British Columbia.
What companies has Elham E Khoda worked for?
Elham E Khoda has worked for The University Of British Columbia, San Diego Supercomputer Center, Berkeley Lab, University Of Washington, and University Of Washington Escience Institute.
How can I contact Elham E Khoda?
You can use AeroLeads to view verified contact signals for Elham E Khoda at The University of British Columbia, including work email, phone, and LinkedIn data when available.
What schools did Elham E Khoda attend?
Elham E Khoda holds Doctor Of Philosophy - Phd, Physics, 94% from The University Of British Columbia.
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