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Lama El Halabi Email & Phone Number
Stanford Data Science Scholar
at
Stanford Data Science
1 work email found
@stanford.edu
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✓ Verified July 2026
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Profile completeness 100%
Current company
Role
Stanford Data Science Scholar
Location
Stanford, California, United States
Who is Lama El Halabi? Overview
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Quick answer
Lama El Halabi is listed as Stanford Data Science Scholar at Stanford Data Science, based in Stanford, California, United States. AeroLeads shows a work email signal at stanford.edu and a matched LinkedIn profile for Lama El Halabi.
Lama El Halabi previously worked as Research Assistant at Stanford Doerr School Of Sustainability and Teaching Assistant at Stanford University. Lama El Halabi holds Doctor Of Philosophy - Phd, Energy Science And Engineering, 4.0/4.0 from Stanford University.
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*@stanford.edu
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Profile bio
About Lama El Halabi
I am a PhD candidate in the Department of Energy Sciences and Engineering and a Data Science Scholar at Stanford University. My research is driven by the crucial role renewable energy must play in sustainably meeting our energy demands. The major challenge in transitioning to renewable energy lies in the intermittent and inherently uncertain nature of these energy sources. My current research focuses on predicting energy outputs from these stochastically behaving sources, with an emphasis on uncertainty quantification and volatility. Specifically, I employ computer vision models and statistical techniques to develop short-term probabilistic photovoltaic (PV) power forecasts from sky images and time-series PV data. I hold an MS in Energy Resources Engineering from Stanford and a BE in Mechanical Engineering and a BS in Physics from the American University of Beirut. Previously, my research involved using machine learning to model water resources.
Listed skills include Writing, Physics, Powerpoint, Social Media, and 24 others.
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10 roles
Lama El Halabi work experience
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Research Assistant
CurrentMy work aims to contribute to the field of renewable energy by improving the accuracy and reliability of PV power predictions. I am developing probabilistic computer vision models designed to predict the power output of photovoltaic (PV) power plants while quantifying uncertainty. Specifically, I created a U-Net framework to predict instantaneous PV power output using sky image data. I applied the probabilistic methods Lower Upper Bound Estimate, Modular Conformal Calibration and Model Agnostic Quantile Regression to quantify uncertainty and calibrate predictions.Utilized Reinforcement Learning to optimize well drilling processes, with a focus on avoiding caves. Modeled the problem as a partially observable Markov decision process (POMDP) and applied the Fast Informed Bound algorithm to determine the optimal sequence of actions, enhancing drilling efficiency while minimizing cave-related risks.
Sep 2020 - Present
Teaching Assistant
Served as the teaching assistant in Energy 199 at Stanford University. Delivered a lecture covering hydrogen utilization, storage, and safety to students. Managed assignment grading responsibilities and provided valuable feedback to support student growth. Additionally, offered guidance and addressed student inquiries effectively during scheduled office hours.
Apr 2023 - Jun 2023
Machine Learning Lead Of Source- Stanford Climate Ventures
Jan 2022 - Mar 2022
Graduate Research Assistant
Developed Artificial Neural Network models that quantify the spatial distribution of Snow Water at regions where data is scarce across mountain basins in the United States by using Transfer Learning and Explanatory Factor Analysis.
Jun 2021 - Sep 2021
Visiting Research Intern
Developed a novel hybrid continuum-discrete model of air flow and pressure in the human lung to improve pulmonary drug delivery. By treating the lower lung as a porous medium and utilizing homogenization techniques, I've derived an analytical equation for airflow and pressure distribution. This equation is coupled with a discrete mechanical network model of the upper lung using Green's functions. To visualize these dynamics, I developed a MATLAB code for numerical analysis.
Jul 2019 - Sep 2019
Undergraduate Research Assistant
Assessed the thermal properties of various samples of Cubic Silicon Carbide on modified Silicon using an infrared laser flash experiment in the Thermal Physics Lab, in the department of Physics.
Oct 2018 - Feb 2019
Undergraduate Research Assistant
Created an air pollutant emission inventory for Lebanon from road transport. Calculated emissions, encompassing CO2, NOx, CO, SO2, and PM2.5, attributed to road transportation in Lebanon spanning from 2005 to 2015. Additionally, crafted a forward-looking time series forecast to anticipate automotive consumer trends and emissions in Lebanon's future. Presented the research project's methodology and findings at the Lebanese Ministry of Environment, contributing to informed decision-making. Actively engaged in a national workshop hosted by AUB, advocating for environmental policy reform initiatives.
Jun 2017 - Oct 2018
Engineering Trainee
Aug 2017 - Sep 2017
Community Outreach Manager
Rusted Radishes
Rusted Radishes is Beirut's literary and art journal housed in the English Department at the American University of Beirut with the intention of creating a space for artists and writers with a connection to Lebanon.
Feb 2016 - Sep 2017
6 education records
Lama El Halabi education
Doctor Of Philosophy - Phd, Energy Science And Engineering, 4.0/4.0
Stanford Ignite, Certificate Program In Innovation And Entrepreneurship, 2024, Entrepreneurship/Entrepreneurial Studies
Master Of Science - Ms, Energy Resources Engineering, 4.1/4.0
Bachelor Of Science - Bs, Physics, 3.9/4.0
Bachelor Of Engineering - Be, Mechanical Engineering
Mechanical Engineering
FAQ
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Quick answers generated from the profile data available on this page.
What company does Lama El Halabi work for?
Lama El Halabi works for Stanford Data Science.
What is Lama El Halabi's role at Stanford Data Science?
Lama El Halabi is listed as Stanford Data Science Scholar at Stanford Data Science.
What is Lama El Halabi's email address?
AeroLeads has found 1 work email signal at @stanford.edu for Lama El Halabi at Stanford Data Science.
Where is Lama El Halabi based?
Lama El Halabi is based in Stanford, California, United States while working with Stanford Data Science.
What companies has Lama El Halabi worked for?
Lama El Halabi has worked for Stanford Data Science, Stanford Doerr School Of Sustainability, Stanford University, Berkeley Lab, and American University Of Beirut.
How can I contact Lama El Halabi?
You can use AeroLeads to view verified contact signals for Lama El Halabi at Stanford Data Science, including work email, phone, and LinkedIn data when available.
What schools did Lama El Halabi attend?
Lama El Halabi holds Doctor Of Philosophy - Phd, Energy Science And Engineering, 4.0/4.0 from Stanford University.
What skills is Lama El Halabi known for?
Lama El Halabi is listed with skills including Writing, Physics, Powerpoint, Social Media, Autocad, Microsoft Powerpoint, Matlab, and Communication.
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