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Alan Wang, Ph.D. Email & Phone Number

Google Cloud and Data Center Circularity at Google
Location: New York City Metropolitan Area, United States 9 work roles 5 schools
1 work email found @deloitte.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Current company
Role
Google Cloud and Data Center Circularity
Location
New York City Metropolitan Area, United States
Company size

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Alan Wang, Ph.D. is listed as Google Cloud and Data Center Circularity at Google, a with 1 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at deloitte.com and a matched LinkedIn profile for Alan Wang, Ph.D..

Alan Wang, Ph.D. previously worked as Consulting Manager (SA) at Oliver Wyman and Consulting Manager at Deloitte Consulting. Alan Wang, Ph.D. holds Doctor Of Philosophy (Ph.D.), Chemical And Biomolecular Engineering from The Ohio State University.

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*@deloitte.com
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Profile bio

About Alan Wang, Ph.D.

• Management consulting: 2+ years of management consulting experience in business model and pricing strategy, market intelligence, and AI/ML digital transformation. Expertise in climate and sustainability, digital supply chain, net-zero strategy, and commodity trading.• Technical leadership: 5+ years of technical lead and strategy advisor experience leading cross-functional teams to deploy enterprise-wide hybrid AI/ML and physics-based modeling solutions for core SIOP and IBP functions (production planning, demand forecasting, and manufacturing optimization & automation). • Climate technology: 5+ years of research in clean energy decarbonization technology, specifically in carbon capture, clean syngas, blue hydrogen production, and solar renewable space. Lead researcher several innovative DOE, NREL, ARPA-E funded projects.• Problem-solving & strategy: strong problem-solving and holistic system design. Thrives at strategic planning and decision making under uncertainty, with cross-disciplinary research and development expertise• Education: Ph.D. in chemical engineering with diverse technical training in computer science, statistics, and data science. MBA trained: familiar with market analysis, risk/decision analysis, technology commercialization, technology assessment, project management, and entrepreneurship.

Listed skills include Matlab, Chemical Engineering, Process Simulation, Data Analysis, and 22 others.

Current workplace

Alan Wang, Ph.D.'s current company

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Google
Google
Google Cloud and Data Center Circularity
New York, NY, US
Website
Employees
1
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9 roles · 17 years

Alan Wang, Ph.D. work experience

A career timeline built from the work history available for this profile.

Google Cloud And Data Center Circularity

New York, Ny, Us

Consulting Manager (Sa)

Current

New York, Ny, Us

Managing day-to-day project execution and business development activities for energy natural resources and financial clients. Key project highlights include:- Energy and LNG commodity trading, origination, and risk management benchmark study- Biofuel SAF market assessment and competitive analysis- Waste recycle network modeling & strategic business planning- Commercial pricing & monetization strategy- E-commerce transformation market-entry strategy- Post-merger integration management

Jan 2024 - Present

Consulting Manager

Managing project execution, client relationships, and business development activities for the largest U.S. energy and chemicals companies. Key project highlights include:- Climate risk assessment digital platform design & go-to-market- Biofuel market intelligence and supply resilience study- Net-zero target setting and GHG benchmark strategy- Commodity trading digital transformation- Energy value chain optimization

Feb 2022 - Jan 2024

Staff Technical Program Manager

Us

-Technology Venturing: Performed decarbonization technology scouting and vendor evaluation on emerging digital automation/AI and low-carbon solutions. Conducted techno-economic analysis (TEA) and scenario-based market analysis to guide strategic partnership and investment decisions for carbon capture, hydrogen etc.- Technical Program Management: Technology development and deployment lead for modeling and optimization solutions supporting downstream manufacturing and planning operations.

Aug 2021 - Feb 2022

Staff Real-Time Optimization & Modeling Engineer

Us

- Functioned an innovative technical leader within a core research group that owns the technology R&D of digital-twin hybrid models that combines data science and first-principle physics modeling for enterprise asset optimization: manufacturing automation, real-time optimization, carbon tracking, predictive maintenance, and process control.- Product Management: Developing data analytics engine that provides model solution transparency and what-if analysis capabilities. Awarded innovation technology of the year, and was commercialized globally to downstream refineries and chemical assets that improved manufacturing margin by $300M+.- Product Innovation: Pioneered the integration of carbon management capability to enable trade-offs between manufacturing profitability and energy efficiency in the refinery production and demand planning process. Enabled the business to quickly screen and identify low efficiency operating units. Improved the overall site-wide operating energy intensity index by over 15% while minimizing the impact on profit margin.

Jan 2020 - Feb 2022

Senior Real-Time Optimization Engineer

Us

- Digital Transformation: Led the deployment of the next-gen python optimization platform at a large-scale high-throughput manufacturing facility. Leading the digital transformation implementation and client engagement activities by building local expertise and capturing quick wins. - Digital Infrastructure: Led a key IT transformation initiative to migrate optimization software platform and the server hardware; the project completed months ahead of schedule, improved application utilization and reliability KPI by 60+%, and created $10M+ value.- Led the model development and deployment of a broad range of first-principle digital-twin real-time optimizers for technology verticals across global business units: crude distillation, FCC, hydro-processing, reforming, catalytic lubes; commissioning and revamping multiple applications with a portfolio value of $60M+.- Led data warehouse effort to centralize disparate data siloes into a modern data pipeline. Aggregated and synchronized model generated data with real-time sensor data to drive advanced enterprise-wide performance monitoring and data science modeling efforts.

Jan 2017 - Dec 2019

Advanced Optimization Engineer (Emre Optimization Div)

Us

- Predictive maintenance: accelerated the fleet-wide intelligent predictive maintenance program leveraging model simulations and data analytics. Established the data pipeline and KPI dashboard for critical equipment health monitoring and failure mode effect analysis (FMEA). Enabled proactively identification of failing operating units and improved the overall site manufacturing margin by over 15% by minimize unit down time. - Manufacturing real-time optimization: Hydrocracking Reactor Catalyst Kinetic Tuning to predict the reactor severity and selectivity to product yield relationships after unit turn-around. Application deployment at a leading gulf-coast refinery leading to $1 million/year benefits.

Jun 2016 - Dec 2016

Graduate Research Associate

Columbus, Ohio, Us

- Demonstrated technical readiness of a carbonate reaction pathway with high CO2 absorption capacity by 5-8 times and reduced the operating cost by 40%. Awarded an RFP by the Dept. of Energy (DOE) to scale the technology to an industrial-scale 15kWth pilot, which is now patented and commercially licensed.- Collaborated closely with a team of NREL scientists to design a novel reactor flow system that maximizes the thermal heat transfer efficiency of a concentrating solar system. Leveraging experimental data and fluid dynamic simulations, this pseudo "sand-battery" achieved over 90% thermal efficiency while costing a fraction of competing technologies.- Studied the thermoplastic characteristics of novel hydrocarbon feedstocks with applications in plastic recycling and biomass conversion under a high-temperature pyrolysis environment. Such clean energy conversion systems can significantly reduce the carbon footprint of chemical feedstock synthesis. - Involved in the technical feasibility study and pilot-scale testing of a novel iron-oxide based chemical looping system for clean energy conversion. Generates syngas or blue hydrogen with in-situ carbon capture. - Published four peer-reviewed articles as the first or second author in industry-leading academic journals on topics including carbon capture, reaction engineering, and fluidization system design.

2010 - 2016 ~6 yrs

Graduate Teaching Assistant

Columbus, Ohio, Us

• Collaborated with professors/lectures on lesson planning and content preparation.• Organized on-going teaching assistance and exam review sessions for 3 undergraduate courses.• Guided groups of senior undergraduate students on their capstone design projects.

Aug 2011 - Dec 2014
Team & coworkers

Colleagues at Google

Other employees you can reach at oliverwyman.com. View company contacts for 1 employees →

5 education records

Alan Wang, Ph.D. education

Doctor Of Philosophy (Ph.D.), Chemical And Biomolecular Engineering

The Ohio State University

Business Entrepreneurship Fundamentals Certificate - Mgmt633

Rice University

Advanced Process Decision-Processing Center Certificate, Chemical Engineering

Carnegie Mellon University

Bachelor’S Degree, Chemical And Biomolecular Engineering

The Ohio State University

Summer Institute, Mathematics

Stanford University
FAQ

Frequently asked questions about Alan Wang, Ph.D.

Quick answers generated from the profile data available on this page.

What company does Alan Wang, Ph.D. work for?

Alan Wang, Ph.D. works for Google.

What is Alan Wang, Ph.D.'s role at Google?

Alan Wang, Ph.D. is listed as Google Cloud and Data Center Circularity at Google.

What is Alan Wang, Ph.D.'s email address?

AeroLeads has found 1 work email signal at @deloitte.com for Alan Wang, Ph.D. at Google.

Where is Alan Wang, Ph.D. based?

Alan Wang, Ph.D. is based in New York City Metropolitan Area, United States while working with Google.

What companies has Alan Wang, Ph.D. worked for?

Alan Wang, Ph.D. has worked for Google, Oliver Wyman, Deloitte Consulting, Exxonmobil, and The Ohio State University.

Who are Alan Wang, Ph.D.'s colleagues at Google?

Alan Wang, Ph.D.'s colleagues at Google include Gabriela E Campuzano H, Fouad El Kadi, Paul Ricard, Lina Alawamleh, and Gladys Teo.

How can I contact Alan Wang, Ph.D.?

You can use AeroLeads to view verified contact signals for Alan Wang, Ph.D. at Google, including work email, phone, and LinkedIn data when available.

What schools did Alan Wang, Ph.D. attend?

Alan Wang, Ph.D. holds Doctor Of Philosophy (Ph.D.), Chemical And Biomolecular Engineering from The Ohio State University.

What skills is Alan Wang, Ph.D. known for?

Alan Wang, Ph.D. is listed with skills including Matlab, Chemical Engineering, Process Simulation, Data Analysis, Mathematica, Aspen Plus, Statistics, and Renewable Energy Systems.

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