Lawrence Berkeley National Lab - Energy Analysis & Environmental Impacts
March 2021 - Present
The mission of Berkeley Lab's Energy Technologies Area (ETA) is to perform analysis, research, and development leading to better energy technologies and the reduction of adverse energy-related environmental impacts. We build on a strong foundation of energy efficiency to perform research and analysis in a wide range of topics, from buildings to batteries to indoor air quality, the electricity grid, transportation, and environmental impacts.
In this position, I support the Energy Analysis & Environmental Impacts Division with code development related to the development and evaluation of a prototype HVAC system with integrated thermal energy storage. Tasks include (1) developing parametric simulation tools to explore energy cost and load shifting benefits of the system, (2) supporting the implementation of model predictive controls and implementing them with the parametric simulation tools and prototype hardware, and (3) supporting the development and testing of the prototype hardware control logic. I also support data exchange between integrated testing platform, database, and servers.
Visit my Lawrence Berkeley Lab Staff Page
Information about Energy Analysis & Environmental Impacts Division
UC Berkeley Division of Data Sciences -- Product Manager & Developer
January 2019 - Present
Data science modules are short explorations into data science that give students the opportunity to work hands-on with a data set relevant to their course and receive some instruction on the principles of data analysis, statistics, and computing. With help from the Data Science Modules development team, a module can be designed and taught in an existing course from any discipline or field.
Managing a team of developers and constructing laboratory projects on Jupyter Notebooks for professors with a development team to deploy in curriculum instruction. Have impacted over 3,000 students in education from diverse disciples (e.g. Biology, City Planning, Cognitive Science, etc.)
Engineering data sets that give students the opportunity to work hands-on with data relevant to their field/domain (e.g. Neuroanatomy, Cognitive Science, Political Science, etc.) and learn principles of data analysis, statistics, and computing
Promoting diversity and inclusion in the data science education to incorporate topics that reflect diverse experiences relevant for teaching and compiling them into a repository.
Some of our work done can be found Here.
Alluma -- Data Science Fellow
July 2020 - August 2020
Alluma is a social tech non-profit organization that connects government services to people in need through technology. They provide people-centered, policy-driven technology solutions and consulting services to state, county, and local government agencies, nonprofits, and other partners.
As a Code2040 partner, I was selected as a Data Science Fellow during the Summer 2020 Internship term. As a Data Science Fellow, I worked alongside the Data Team within the Strategy and Impact Team (S&I) creating a data engineering pipeline, analytics, and constructing a data proposal.
My project consisted of constructing a data pipeline to automate the intake of employee hours tracking and IT ticket data to output data analytics for stakeholders. In addition, I constructed a data proposal on for their One-X-Connect platform after interviewing stakeholders.
More information about Alluma can be found here.
More information about Code2040 can be found here.
Squishy Robotics -- Data Analytics Researcher
June 2019 - August 2019
Squishy robots are rapidly deployable mobile sensing robots for disaster rescue, remote monitoring and space exploration. Our emergent technologies are at the fusion of robotics, mobile sensing, machine learning, big data fusion and smart IoT (Internet of Things).
Our first target market is the HazMat and CBRNE (Chemical, biological, radiological, nuclear and explosive) response market, enabling life-saving maneuvers and securing the safety of first responders by providing situational awareness and sensor data in uncharted terrain.
Creating an Intelligent Data Analytics UI Platform that utilizes data from tensegrity sensor robots, builds internal predictive models and provides real-time updates on potential hazards and actionable directives to First Responders.
More Information Here.
UC Berkeley Department of Mathematics -- Teacher Assistance
June 2017 - July 2017
During Summer 2017, I served as a Teacher Assistant for the Department Mathematics at the University of California, Berkeley for a pre-calculus course in the Summer Bridge program. As a teacher assistant, I helped prepare 90 incoming college freshman in mathematics, supported faculty and staff in grading, and created homework solution guides.
Summer Bridge is a six-week academic residential program, serving 300+ entering undergraduates every summer. Scholars take a full course load, including two academic courses and a mentorship program that help them acclimate to the academic expectations of the research university.
More Information can be found Here.