Analyze the data center IT infrastructure and research sustainable practices across the cloud value chain, ranging from sustainable IT hardware design to end-of-life management. Quantify the embodied carbon of IT hardware in data centers, including electronic components (e.g., semiconductors), electrical components (e.g., power supply units), and mechanical components (e.g., chassis), using a scalable modeling and analytical framework. Collaborate with a wide variety of internal and external stakeholders to develop data-driven methodologies for accurate and rigorous environmental impact assessments. Contribute to the development of robust solutions and strategies for corporate sustainability, while establishing clarity and structure amidst ambiguity. Stay at the forefront of sustainability reporting standards for a greener cloud future.Key Achievements:● Led data and methodology for IT infrastructure sustainability assessment, providing enhanced insights into the environmental impact of the cloud value chain.● Served as a subject matter expert (SME) on IT hardware to develop corporate sustainability initiatives and strategies, influencing the sustainability of IT hardware in data centers.● Fostered collaborative partnerships with stakeholders from diverse departments and organizations, driving progress in sustainable practices across the cloud value chain.● Delivered data-driven and scientifically sound outcomes in environmental impact assessment and sustainability accounting.

As a Research Scientist at National Renewable Energy Laboratory, I brought exceptional leadership expertise to the forefront, overseeing multiple projects focused on national household-by-household greenhouse gas (GHG) emissions analysis. My responsibilities involved analyzing the complete life cycle of home and vehicle energy systems for over 120 million households in the U.S. Leading cross-disciplinary efforts encompassing life cycle assessment (LCA), environmental justice (EJ), social science, public policy, behavioral science, statistics, large-scale data (> 3,000 GB), machine learning (ML), and high-performance computing (HPC), I ensured comprehensive and impactful research outcomes.I specialized in formulating and documenting sustainable and equitable deployment frameworks, processes, and metrics aimed at promoting clean, affordable, and low-carbon energy systems, contributing to the advancement of cutting-edge research in the renewable energy sector.Key Accomplishments:● Cultivated and sustained robust partnerships with diverse stakeholders, including cities, states, and industry partners.● Devised solutions, strategies, and guidelines for a cleaner, sustainable, and equitable energy future.● Oversaw multiple high-impact and complex projects through entire project life cycle, including ideation, planning, execution, control, and closure.● Managed project development, data collection/analysis, modeling, project management, stakeholder engagement, quality assurance, backend-frontend coordination, documentation, and final product delivery.● Launched a couple of public-facing web tools, EVI-Equity and EVI-RoadTrip, by implementing "Vision to Value" framework. ● Contributed to various refueling and electric grid infrastructure planning initiatives for local, state, and federal governments based on electric vehicle market projections, consumer behavior, travel patterns, demographics, and policy considerations.

As an Energy Systems Modeler at Argonne National Laboratory, I played a pivotal role in spearheading and implementing life cycle assessment (LCA) projects. My focus centered on evaluating economic benefits, trade-offs, and environmental impacts for electric vehicles (cars, trucks, and buses), as well as electricity and hydrogen energy supply and infrastructure. These projects were specifically designed to address greenhouse gas (GHG) emissions, air pollutants emissions, and water consumption.My contributions involved in-depth analysis and modeling, providing critical insights into the sustainability and efficiency of various energy systems. By assessing the life cycle of these technologies, I actively contributed to the understanding of their broader economic and environmental implications.Key Accomplishments:● Executed comprehensive supply-chain and techno-economic analysis of hydrogen and electricity energy systems.● Analyzed energy production from power plants and petrochemical plants, along with transmission through the electric grid and natural gas pipeline, and distribution via hydrogen refueling stations.

As a Graduate Teaching/Research Assistant at Georgia Institute of Technology, I played a central role in conducting comprehensive economic and environmental life cycle assessments (LCA). My focus was on multi-sectorial electrification in buildings and vehicles, with a keen emphasis on life cycle cost, energy efficiency, greenhouse gas (GHG) emissions, water consumption, and air pollution.Throughout my tenure, I applied rigorous research methodologies to assess and analyze the intricate relationships between economic considerations and environmental impacts in the context of electrification. Key Accomplishments:● Investigated data and methodological challenges associated with variability and uncertainty in life cycle assessment (LCA).● Evaluated microgrid and distributed energy systems, including combined cooling, heat, and power (CCHP), leveraging detailed residential and commercial building energy use profiles.● Engineered an economic dispatch model for the U.S. electricity generation landscape, integrating spatial and temporal power grid heterogeneity for precise regional and hourly insights.● Examined water-energy nexus for all electricity generating units (EGUs) in the entire U.S. ● Applied micro-econometrics (e.g., discrete choice modeling) to technology choice projections.

● Served as a teaching assistant for Engineering Ethics course for two years. ● Researched energy technology and policy for vehicle electrification, focusing on energy efficiency, greenhouse gas emissions, and total cost of ownership.