Yuan Gilbert

 


Junior Mechanical Design Engineer, Thermal Systems

(608) 555-1847
yuan.gilbert@example.com
linkedin.com/example/yuangilbert
Madison, WI 53703

STRENGTHS

       
Experimental Validation

Connected models with controlled measurements, and the lab team relied on those comparisons when refining assumptions.

Thermal Modeling

Built steady state and transient analyses for pressure drop and heat transfer, then used results to guide testing.

Design Documentation

Created SolidWorks models, P&IDs, drawings, and test plans that made research setups easier to review and reproduce.

Data Driven Analysis

Applied Python, MATLAB, regression, and machine learning to thermal datasets, with physics still guiding interpretation.

Collaborative Leadership

Led a rack cooling prototype and shared practical tradeoffs during design reviews, helping teammates move decisions forward.

SKILLS

       
  • Heat transfer
  • Fluid dynamics
  • Thermal systems
  • Electronics cooling
  • Liquid cooling
  • Heat exchangers
  • Cold plates
  • Transient modeling
  • DOE
  • Model validation
  • Instrumentation
  • Data acquisition
  • Machine learning
  • SolidWorks
  • Python

LANGUAGES

       
English
Native
40
Spanish
Intermediate
20

MY CAREER

    
2.6Years
  • Graduate Thermal Systems Research Assistant, Thermal Fluid Research at University Research Lab (2 Years)
  • Mechanical Engineering Thermal Design Lead, Rack Cooling Prototype at Capstone Project (4 Months)
  • Thermal Fluid Research Assistant, Experimental Analysis at Academic Research (3 Months)

SUMMARY

Early career mechanical engineer with graduate research focused on thermal fluid analysis, electronics cooling, and experimental validation. Developed liquid cooling loops, cold plate systems, heat exchanger concepts, heat pipes, and vapor chambers for high heat flux applications. Built steady state and transient models in Python and MATLAB for heat transfer, pressure drop, coolant distribution, and system performance. Connected simulation results with controlled laboratory measurements through design of experiments, instrumentation, data acquisition, and uncertainty aware analysis. Created SolidWorks models, P&IDs, engineering drawings, test plans, and configuration records for repeatable research work. Applied regression, machine learning, and data driven methods to thermal datasets while retaining physics based interpretation. Collaborative research and design leadership experience supports practical evaluation of cooling technologies, clear technical communication, and sound engineering decisions.

EDUCATION

Master of Science in Mechanical Engineering
University of Wisconsin Madison   GPA: 4.0
 2026
 Madison, WI
Coursework: Heat Transfer, Fluid Dynamics, Thermal Systems, Experimental Methods
Bachelor of Science in Mechanical Engineering
University of Wisconsin Madison   GPA: 4.0
 2024
 Madison, WI
Coursework: Thermodynamics, Fluid Mechanics, Heat Transfer, Mechanical Design

TECHNICAL SKILLS

  • Thermal Analysis: Heat transfer, fluid dynamics, thermal resistance
  • Cooling Architectures: Liquid cooling, two phase cooling, passive cooling
  • Heat Transfer Hardware: Cold plates, heat pipes, vapor chambers
  • Heat Exchangers: Compact heat exchangers, heat exchanger design, thermal performance
  • Thermal Modeling: Steady state modeling, transient modeling, thermal fluid modeling
  • Flow Analysis: Pressure drop, coolant distribution, flow allocation
  • Experimental Methods: Design of experiments, experimental testing, model validation
  • Instrumentation: Thermocouples, pressure sensors, flow sensors
  • Data Acquisition: DAQ systems, sensor calibration, laboratory measurements
  • Engineering Software: Python, MATLAB, SolidWorks
  • Engineering Documentation: P&IDs, engineering drawings, test plans
  • Data Science: Machine learning, regression, data driven methods

SKILLS

       
  • Heat transfer
  • Fluid dynamics
  • Thermal systems
  • Electronics cooling
  • Liquid cooling
  • Heat exchangers
  • Cold plates
  • Transient modeling
  • DOE
  • Model validation
  • Instrumentation
  • Data acquisition
  • Machine learning
  • SolidWorks
  • Python

EXPERIENCE

Graduate Thermal Systems Research Assistant, Thermal Fluid Research

University Research Lab
 September 2024 - September 2026
 Madison, WI

Led supervised graduate research supporting liquid cooling experiments, thermal fluid modeling, passive two phase concepts, and data driven analysis. Owned laboratory documentation and collaborated with faculty and peers on design choices, validation, and research communication.

  • Developed liquid cooling loop with cold plate, pump, heat exchanger, sensors, and pressure instrumentation.
  • Built Python and MATLAB models predicting heat transfer, pressure drop, and coolant distribution during experiments.
  • Created SolidWorks models, P&IDs, drawings, test plans, and configuration records for repeatable laboratory builds.
  • Designed DOE matrices varying flow rate, inlet temperature, and heat load for thermal resistance analysis.
  • Applied regression and machine learning workflows to thermal datasets while preserving physics based interpretation.
  • Evaluated heat pipes, vapor chambers, cold plates, and heat exchangers for electronics cooling tradeoffs.

Mechanical Engineering Thermal Design Lead, Rack Cooling Prototype

Capstone Project
 January 2024 - May 2024
 Madison, WI

Directed thermal design for a rack scale electronics cooling prototype, coordinating component modeling, mechanical design, instrumentation, validation planning, and technical review. Translated system requirements into practical hardware decisions for a laboratory data center representation.

  • Led rack scale cooling design covering component heat loads, coolant routing, and heat rejection.
  • Developed MATLAB framework estimating component temperatures, coolant rise, pressure losses, and flow allocation.
  • Designed cold plate interfaces and mechanical components in SolidWorks for prototype fabrication and integration.
  • Planned temperature, pressure, and flow instrumentation around defined model validation objectives in test plans.
  • Compared liquid cooling, heat pipe, and vapor chamber concepts through documented design tradeoffs.
  • Presented model comparisons, limitations, and recommended experiments during faculty design review.

Thermal Fluid Research Assistant, Experimental Analysis

Academic Research
 September 2023 - December 2023
 Madison, WI

Supported supervised thermal fluid research on compact heat exchangers through laboratory preparation, instrumentation calibration, analytical modeling, data processing, and technical reporting. Produced repeatable analysis that connected measured operating conditions with thermal performance and model limitations.

  • Investigated compact heat exchanger behavior across flow conditions, pressure drop, and heat transfer performance.
  • Implemented Python scripts cleaning data acquisition files, calculating thermal quantities, and visualizing experimental behavior.
  • Constructed steady state models using heat transfer and fluid dynamics principles for measured test conditions.
  • Calibrated thermocouples, differential pressure sensors, and flow instrumentation before structured laboratory testing.
  • Explored data driven thermal response prediction and compared limits against physics based analytical methods.
  • Produced technical documentation describing methods, assumptions, results, uncertainty, and follow up experiments.

PROJECTS

Rack Scale Electronics Cooling Study
 2024

Connected thermal architecture decisions with practical engineering purpose by modeling component loads, coolant routing, heat rejection, and validation methods for a laboratory scale data center cooling concept.

Compact Heat Exchanger Validation Study
 2023

Explored how careful measurement can improve engineering judgment through Python analysis, calibrated instrumentation, pressure drop modeling, heat transfer evaluation, and uncertainty aware comparison.

LEADERSHIP & AWARDS

  • Graduate Research Poster Recognition, 2026, awarded for clear thermal systems research communication.
  • Dean's List, 2023 and 2024, recognized sustained academic performance in mechanical engineering.
  • Mechanical Engineering Capstone Design Team Lead, coordinated thermal design decisions and final technical review.

CERTIFICATIONS

  • MATLAB Onramp, MathWorks 2024
  • Machine Learning with Python, Coursera 2025

PROFESSIONAL AFFILIATIONS

  • Graduate Research Peer Mentor, University Research Lab, supported colleagues with thermal testing and analysis.
  • Mechanical Engineering Capstone Design Team Lead, coordinated prototype design reviews and technical documentation.

LANGUAGES

       
  • English (Native)
  • Spanish (Intermediate)

ADDITIONAL INFORMATION

Work Status
: Authorized to work in United States. No sponsorship required.

ADDITIONAL INFORMATION

Work Status
: Authorized to work in United States. No sponsorship required.

REFERENCES

AVAILABLE ON REQUEST