Quantitative Developer
CurrentDeveloping infrastructure and models for proprietary trading in commodity markets
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@fluenceenergy.com
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2 phones found area 979
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William Tso is listed as Quant | Data Scientist @ Statkraft at Statkraft, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at fluenceenergy.com, phone signal with area code 979, and a matched LinkedIn profile for William Tso.
William Tso previously worked as Quantitative Developer at Statkraft and Senior Optimization Engineer at Fluence. William Tso holds Bachelor Of Science (B.S.), Chemical Engineering from Princeton University.
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AeroLeads found 1 current-domain work email signal for William Tso. Compare company email patterns before reaching out.
• Experienced background in mathematical optimization (linear, mixed-integer, nonlinear) and applied machine learning, particularly for modeling energy systems & commodity markets• Keen on developing data-driven solutions and quantitative analyses from a systems perspective to help guide decision-making• An energy aficionado: have domain knowledge of electricity markets, hydrogen & ammonia (green, blue, grey), renewables, energy storage, downstream oil & gas, chemicals processing, and carbon accounting
Listed skills include Microsoft Office, Chemical Engineering, Data Analysis, Optimization, and 34 others.
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Oslo, Oslo, No
Developing infrastructure and models for proprietary trading in commodity markets
Arlington, Virginia, Us
Fluence Digital Data Science• Contributed to Mosaic software for optimizing renewables and battery energy storage (BESS) participation in wholesale electricity markets• Advanced a novel time series based method for probabilistic forecasting of energy and ancillary service price scenarios (used for stochastic programming) to feed optimization
Boston, Massachusetts, Us
GAMMA • Provided data science & analytics consulting and strategy for clients in operations and sustainability practice areas (CO2 AI)
Allentown, Pennsylvania, Us
Modeling & Data Sciences, Computational Technology R&D• Developed and sustained digital technologies to optimize real-time operations of the North America HyCO business (hydrogen + carbon monoxide), consisting of several production facilities connected to a multitude of industrial customers through gas pipeline networks for product delivery (this includes the world’s largest hydrogen pipeline located in the US Gulf Coast)• Was responsible for tracking, maintaining, and modeling the price contracts for all North American customers in the network optimization model
College Station, Tx, Us
• Combined data science and optimization techniques to model natural gas and renewable energy systems for producing fuels, chemicals, and ammonia & hydrogen for energy storage in power systems• Work was funded by Royal Dutch Shell’s New Energies division, focusing on new directions in natural gas and renewable energy• Used GAMS/CPLEX, Python, and MATLAB to develop process models and solve large scale mixed-integer optimization problems (MILP/MINLP) for process synthesis, planning, scheduling, and supply chain of these energy systemsResearch focus area was process systems engineering, specific projects included:• Natural gas to liquid fuels (GTL), olefins, and aromatics• Coproducing ammonia and methanol from natural gas and renewables• Modeling of solar and wind energy storage in batteries, hydrogen, ammonia, and methanol• Clustering based algorithm to solve optimization problems with intermittent renewable data • Hyperparameter optimization of machine learning models using bilevel optimization and multi-parametric programmingAdvisors: Prof. Stratos Pistikopoulos & Prof. Chris Floudas†External contact: Dr. Joseph Powell (former Shell Chief Scientist)
Us
ExxonMobil Research & Engineering Optimization Technology Division• Discovered a faster optimization procedure for identifying loss opportunities and bottlenecks in oil refinery operations to increase economic profit (modeled as a MILP in AIMMS)
St. Louis, Mo, Us
Lifecycle Services Group• Created a statistical time series method for analyzing and clustering process event data from the DeltaV Event Chronicle to identify opportunities for advanced process control, alarm rationalization, and process troubleshooting
Gaithersburg, Maryland, Us
Cell Culture & Fermentation Sciences Group• Evaluated the phenotypic stability of mouse NS0 myeloma cells producing an anti-interferon mAb and determined important nutrient groups in their growth media through statistical design of experiment analysis
Zug, Ch
• Developed a statistical regression model that used infrared spectroscopy data to accurately predict the calcium carbonate content in ordinary Portland cement up to 50%
Quick answers generated from the profile data available on this page.
William Tso works for Statkraft.
William Tso is listed as Quant | Data Scientist @ Statkraft at Statkraft.
AeroLeads has found 1 work email signal at @fluenceenergy.com for William Tso at Statkraft.
AeroLeads has found 2 phone signal(s) with area code 979 for William Tso at Statkraft.
William Tso is based in New York City Metropolitan Area, United States while working with Statkraft.
William Tso has worked for Statkraft, Fluence, Boston Consulting Group (Bcg), Air Products, and Texas A&M University.
You can use AeroLeads to view verified contact signals for William Tso at Statkraft, including work email, phone, and LinkedIn data when available.
William Tso holds Bachelor Of Science (B.S.), Chemical Engineering from Princeton University.
William Tso is listed with skills including Microsoft Office, Chemical Engineering, Data Analysis, Optimization, Research, Data Science, Mathematical Modeling, and Java.
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