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Daniel Rothenberg is listed as Building the next generation of AI technologies for improving weather and climate prediction. at Brightband, based in Frederick, Colorado, United States. AeroLeads shows a work email signal at mit.edu, phone signal with area code 713, and a matched LinkedIn profile for Daniel Rothenberg.
Daniel Rothenberg previously worked as Co-Founder, Head of Data and Weather at Brightband and Staff Software Engineer (Bungee) at Google. Daniel Rothenberg holds Ph.D., Atmospheric Science from Massachusetts Institute Of Technology.
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AeroLeads found 2 current-domain work email signals for Daniel Rothenberg. Compare company email patterns before reaching out.
I'm passionate about leveraging advanced, contemporary technologies to better solve classic and critical problems in meteorology and climate science.Recently at Waymo I tackled broad weather and environmental challenges which impact autonomous vehicles. As a Technical Lead I worked horizontally across the engineering organization to understand weather-related problems, and to plan and push solutions to them in order to unblock the company's critical path towards its key product milestones for Waymo One and Waymo Via. In my previous role as the Chief Scientist at Tomorrow.io, I led a team of scientists and engineers to tackle challenging problems at the interface of meteorology, data science, and software engineering. We developed and productionized new systems and techniques for integrating novel, micro-weather observations into large-scale diagnostic systems which provide critical "weather intelligence" for our clients. We also brought to operational life new forecasting and analysis techniques leveraging the cloud and big data technologies. As an officer of the company I also contributed to strategic planning and decision-making. Prior to leaving academia, I was a research assistant and then post-doctoral scholar at the Center for Global Change Science and Institute for Data, Systems and Society at MIT. My research focused on the complex interactions between weather, climate, air quality, and human health. To accomplish this, I applied both statistical and dynamical models of the chemistry-climate system to understand how climate shapes air quality by influencing regional weather patterns and variability. I use these models to understand how climate change may perturb these relationships, producing poor air quality more frequently. With my group, we can then assess how this would impact human health, the economy, and ultimately feedback on climate change itself. Beyond my primary research and professional roles, I am interested in the continued development of global, crowd-sourced weather observation networks which might bolster numerical weather prediction and foster a weather-aware/savvy society, as well as resolving fundamental issues in climate science, in particular the role of aerosol interactions with clouds in the context of climate change. Furthermore, I am strongly involved in work at the interface of science and policy in sustaining the "innovation pipeline", and keenly interested in workforce challenges and opportunities that AI bring to the weather enterprise.
Listed skills include Fortran, Python, Science, Physics, and 28 others.
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Brightband is making weather and climate predictable for all, to help humanity adapt to increasingly extreme weather.We are building an end-to-end AI Earth System for probabilistic forecasting.We will open source benchmark datasets, models, and metrics to establish a common task for global weather forecasting. We hope this will encourage the community to.
Mountain View, CA, US
Helping to incorporate novel AI-powered weather forecasting technologies into Google products and user experiences.
Mountain View, California, US
I worked broadly within Waymo to develop novel applications and solutions to solve myriad problems occurring at the interface between autonomous vehicles and the adverse weather conditions that impact them.
Boston, Massachusetts, US
As the Chief Scientist of ClimaCell/Tomorrow.io I broadly led the company's core meteorological / atmospheric data science applied R&D program and roadmap. With the Atmospheric Data Science team I directly managed and the broader engineering organization, we conceptualized, developed, deployed, and maintained the core weather data products that underpin.
Boston, Massachusetts, US
Recruited and managed a core team of Atmospheric Data Scientists to rapidly conceptualize, prototype, and ultimately deploy cutting-edge weather analysis and forecast data products in support of company growth objectives and opportunities. Worked closely with business leaders to align R&D objectives with company roadmap and product goals. Helped establish.
Cambridge, MA, US
Postdoc working with Noelle Selin and Susan Solomon on research funded through an EPA Air Climate and Energy Center to study the interactions between climate and air quality.
Cambridge, MA, US
Conducting research in the Wang group in the Department of Earth, Atmospheric, and Planetary Sciences and Center for Global Change Science focused on aerosol-cloud-climate processes.
Cambridge, MA, US
Assisting Prof. Ron Prinn teach the 12.806/306 graduate course, "Atmospheric Physics and Chemistry". Guest-lecturing on topics related to modeling the physics and chemistry of aerosol in global climate models and cloud-resolving models. Developing modeling-focused problem sets and exercises.
Co-chaired the Planning Committee for the American Meteorological Society's Student conference, following 4 years as a contributing member and Session Chair. During my tenure, the conference grew to over 700 student participants, over 200 of which presented original research projects in the Poster Session I organized.
Chaired the organizing committee for the 2013 Graduate Climate Conference (http://gradclimateconf.mit.edu/). The conference took place at Woods Hole Oceanographic Institution, and hosted over 100 graduate students from the United States and abroad. The conference was funded through grants and donations from the NSF, Woods Hole, and MIT.
GB
Ported the "Pairwise Homogenization Algorithm" used in the production of the National Climatic Data Center's US Historical Climate Network temperature record from Fortran to Python, employing software engineering principles to improve the readability, transparency, and performance of the code, as well as to extensively document it and identify/fix bugs..
Ithaca, NY, US
Researched biogeochemical processes impacting the carbon cycle in a coupled carbon-climate model, the NCAR Community Climate System Model ver. 3 with the Community Land Model-Carbon Nitrogen. Contributed to publications with mentor, Natalie Mahowald. Developed visualization and analysis suite for CCSM3 NetCDF output, using Python and PyNGL/PyNIO.Authored.
Ithaca, NY, US
Held bi-weekly office hours and review sessions for students in CS 2110: Object Oriented Programming and Data Structures. Often worked one-on-one with students to study concepts in Graph theory or complete long-term programming assignments
Authored a Python-based web-crawler and parser for retrieving various formats of guitar tablature from internet resources. Implemented a service-based front-end so that other programs/users can access the crawler’s functionality, such as a Hadoop-based job scheduler.
Conducted research under the supervision of Dr. David Randall and Dr. Ross Heikes:- Ported an anelastic dynamical core running on a geodesic grid to supercomputers at NERSC and Oak Ridge National Laboratory (Cray XT-5, "Jaguar").- Implemented Parallel-NetCDF based I/O functionality into the model- Conducted a baroclininc instability test case on the model.
Louisville, KY, US
Authored high-school, middle-school level questions for Quick Recall and Governor's Cup competitions. Developed and taught a Fine Arts curriculum to students of all levels at Academic Competition Summer Camp.
Utilized ArcGIS to design map layers for use in dynamic AHPS web application deployed by NOAA
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Daniel Rothenberg works for Brightband.
Daniel Rothenberg is listed as Building the next generation of AI technologies for improving weather and climate prediction. at Brightband.
AeroLeads has found 2 work email signals at @mit.edu for Daniel Rothenberg at Brightband.
AeroLeads has found 2 phone signal(s) with area code 713 for Daniel Rothenberg at Brightband.
Daniel Rothenberg is based in Frederick, Colorado, United States while working with Brightband.
Daniel Rothenberg has worked for Brightband, Google, Waymo, Tomorrow.Io, and Massachusetts Institute Of Technology.
You can use AeroLeads to view verified contact signals for Daniel Rothenberg at Brightband, including work email, phone, and LinkedIn data when available.
Daniel Rothenberg holds Ph.D., Atmospheric Science from Massachusetts Institute Of Technology.
Daniel Rothenberg is listed with skills including Fortran, Python, Science, Physics, Programming, Climate Change, Meteorology, and Unix.
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