AeroLeads people directory · profile
Shengyu Wang Email & Phone Number
Graduate Researcher
at
University of Rochester
LinkedIn matched
✓ Verified Jun 2026
3 data sources
Profile completeness 86%
Current company
Role
Graduate Researcher
Location
Rochester, New York, United States
Who is Shengyu Wang? Overview
A concise factual answer block for searchers comparing this professional profile.
Quick answer
Shengyu Wang is listed as Graduate Researcher at University of Rochester, based in Rochester, New York, United States. AeroLeads shows a matched LinkedIn profile for Shengyu Wang.
Shengyu Wang previously worked as Graduate Researcher (Machine Learning and Optimization) at University Of Rochester and Congressional Tweet Competition with Natural Language Processing at University Of Rochester. Shengyu Wang holds Phd Candidate, Geological And Earth Sciences/Geosciences, 3.96 Out Of 4.0 from University Of Rochester.
Company email context
Email format at University of Rochester
This section adds company-level context without repeating Shengyu Wang's masked contact details.
University of Rochester
Review company-level records connected to Shengyu Wang before choosing the right outreach path.
Profile bio
About Shengyu Wang
As a Ph.D. Candidate in Oceanography with education background in mathematics, I am passionate about leveraging my skills to address challenges through data-driven decision-making. With five years of research experience in ocean modeling, I have developed machine learning expertise in Python and MATLAB, focusing primarily on ocean methane cycle and global carbon removal. Additionally, I have applied deep learning techniques to other various domains, such as predicting future earthquake frequencies in Southern California, and the evolution of the COVID-19 pandemic.
Current workplace
Shengyu Wang's current company
Company context helps verify the profile and gives searchers a useful next step.
7 roles
Shengyu Wang work experience
A career timeline built from the work history available for this profile.
Graduate Researcher (Machine Learning And Optimization)
Current- Developed Innovative Data-Assimilation Numerical Models: Designed and developed 3D data-assimilation models that incorporate regression techniques, time-stepping methods, and optimization algorithms to quantify oceanic.
- Conducted Time-Series Analysis on Climate Data: Performed data validation, calibration, and time-series analysis on predictive climate models, forecasting that methane emissions from the ocean will double by the year.
- Modeled Carbon Removal Capability using AI & Deep Learning: Constructed numerical model to evaluate the ocean’s methane absorption capacity using artificial intelligence (neural networks), random forest regression and.
- Constructed Ocean Physical Transport Model: Developed the first-ever 1D ocean sediments methane transport model by solving systems of ordinary differential equations and employing machine learning algorithms.
Sep 2019 - Present
Congressional Tweet Competition With Natural Language Processing
Led a team in processing and analyzing over 592,000 congressional tweets using Natural Language Processing and Word Vectorization. Applied supervised training and ensemble learning for political partisanship prediction, resulting in an 89.3% model accuracy.
Jan 2022 - Jun 2022
Covid-19 Time Series Forecasting Through Deep Learning
Processed and analyzed over 166,000 COVID-19 time series observations, implementing different clustering techniques, advanced neural network, and deep learning methods to develop predictive models that achieved accurate COVID-19 forecasts with R2 values above 85%.
Jan 2022 - Jun 2022
Internship – Quantitative Researcher
Shanghai Leadcorp International Trade Co., Ltd.
- Applied X-12-ARIMA and Hodrick-Prescott filter to analyze time series data of Chinese iron ore import prices from 2010 to 2022, identifying significant seasonal instabilities due to COVID-19 and the Russo-Ukrainian War.
- Developed a quantile regression model revealing the US Dollar Index and Baltic Dry Index as key determinants of Chinese iron ore import prices, suggesting that increased RMB internationalization will reduce import costs.
May 2024 - Aug 2024
Undergraduate Research Assistant
Jun 2018 - May 2019
Useit Intern- Probability And Machine Learning Team
Applied Bayesian statistics and Laplace smoothing on two earthquake prediction models, improving model accuracy by 30% and projecting an increase in earthquake frequency in Southern California for the next million years.
May 2018 - Aug 2018
4 education records
Shengyu Wang education
Phd Candidate, Geological And Earth Sciences/Geosciences, 3.96 Out Of 4.0
Bachelor Of Arts - Ba, Computational And Applied Mathematics, Geological Sciences
Bachelor Of Arts - Ba, Geological And Earth Sciences/Geosciences
High School Diploma
FAQ
Frequently asked questions about Shengyu Wang
Quick answers generated from the profile data available on this page.
What company does Shengyu Wang work for?
Shengyu Wang works for University of Rochester.
What is Shengyu Wang's role at University of Rochester?
Shengyu Wang is listed as Graduate Researcher at University of Rochester.
Where is Shengyu Wang based?
Shengyu Wang is based in Rochester, New York, United States while working with University of Rochester.
What companies has Shengyu Wang worked for?
Shengyu Wang has worked for University Of Rochester, Shanghai Leadcorp International Trade Co., Ltd., University Of Southern California, and Statewide California Earthquake Center (Scec).
How can I contact Shengyu Wang?
You can use AeroLeads to view verified contact signals for Shengyu Wang at University of Rochester, including work email, phone, and LinkedIn data when available.
What schools did Shengyu Wang attend?
Shengyu Wang holds Phd Candidate, Geological And Earth Sciences/Geosciences, 3.96 Out Of 4.0 from University Of Rochester.
Find 750M verified contacts
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trialPeople with similar names
Check these profiles if this is not the Shengyu Wang you were looking for.
View similar profiles
