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My name is Jules Repusseau, I’m a French postgraduate material engineer. I acquired my master diploma in Polytechnic school of Lyon-1 in France. During my master program, I specialized in material simulation and biomaterial. By following courses on material simulation and participating in a Phd research project about it, I developed a strong interest in infinite elements therefore I want to extend research work in this field. I have knowledge in material modelisation including hybrid composite mechanical properties (Hexcel 2016, Cermel 2018) , and microfluidic interaction (CNRS 2020). In my last job in the French national research center (CNRS) last year, I led research work on microfluidic systems applied for micro-vessel modeling. It was a part of CNRS’s cancer treatment research study. I was in charge of designing, implementing, automating as well as simulating the microfluidic system. My material engineer background brought my technical and scientific skills to work on a finite element simulation of the inflow model. From 2020 I am pursuing an entrepreneur certification in Euratechnologies willing to improve my marketing and business development skills. In a previous work in South Korea I was host manager in a guesthouse and frequently have to deal with customer services in a multicultural environment. I also built up data processing skills through data projects in my past working experiences. I’m skilled in data exploration, cleaning, analysis and deep learning model creation. As a side project I also run websites and marketplaces for Non-profit organizations. I am a hard worker, I regularly come up with practical solutions to resolve complex situations. I am familiar with Taiwanese educational and working cultures, I studied engineering in National Tsing-Hua University (國立清華大學) and mandarin at the National Taiwan Normal University (師大) training center.
Data Engineer・CAD·3D Engineer・Database
2-4 years (1-2 years relevant)
I've had experience in managing 1-5 people
Highest level of education
Job search preferences
Desired job type
Full time・Interested in working remotely
Desired work locations
Technical Support Engineer
May 2022 - Present11 mos
Taipei City, TaiwanTake care of customer support in Dental 3d printing company. Help for internal tool development and technical documentation. Support customer troubleshoot.
Customer Support Engineer
May 2021 - June 20221 yr2 mos
Taipei City, TaiwanResponsible of customer support in a remote software company. Take care of European customer Help detect bugs and troubleshoot.
Business Developper / BA
January 2020 - February 20211 yr2 mosI complete a business/entrepreneur certificate with Euratechnologies [France]. It's a 180-hour course about business development, operation, CRM, communication and presentation skills, etc. I’m proactive in practicing business, my start-up project cut into top 10 and won 15000 euro fund.
National French Center for Scientifique Research (CNRS)
May 2020 - December 20208 mos醫療用微氣泡研究 - 合成微氣泡，測量微氣泡大小及界面電位，並分析實驗老鼠腦中的微氣泡核磁共振影像，為癌細胞標靶治療技術的研究。 o 超音波作用最佳化 – 研究超音波與微氣泡作用，透過流式細胞分析，得到微氣泡在體外實驗中最佳的傳送效果。 o 流體環境微氣泡實驗 – 體外腫瘤模型微流系統自動化，模擬血液流動環境，並檢測微氣泡鎖定腫瘤細胞精準度。 ◦ Analyze MRI and echography: Using Machine Learning to analyze MR and echography imagery to detect glioblastoma in patient brain. ◦ Optimize ultrasounds performance : Lead study in ultrasound and microbubbles interactions. Coordinates with practitioners to optimize an ultrasound system for in vivo glioblastoma treatment. ◦ Build microfluidic system: Collaborate with microfluidic equipement vendor to find solution and setup microfluidic system for in flow cell culture.
Data scientist intern
October 2018 - January 20194 moso 資料分析 – 與汽車零售商合作，將其銷售資料用Dataiku資料清理與視覺化 o 預測 – 使用Python Scikit-learn 套件進行機器學習，分析消費者購車消費習慣並建立預測模型，做為汽車零售商的線上推薦系統。 ◦ Engage with customers: Elicit customers requirements then build features and design user interface. ◦ Data analysis: Collaborate with retailers to conduct data pipeline processing and datasets visualisation using Dataiku. ◦ Predictions: Create predictions models under Python environment and use Automatic Machine Learning libraries to detect relevant criteria in purchase habits. This model can be implemented for recommendation system.
February 2018 - August 20187 mos軍規合成橡膠成分檢測 – 測試合成橡膠在高溫高壓環境中的表現，並設計訂定成分標準，檢測結果為軍規合成橡膠所使用。 ◦ 材料模擬 – 研究爆裂物隔熱材料微球粒合成橡膠成分與調製配方。 ◦ Composite elastomer testing: Elastomer material benchmarks design and testing in wide stress and temperature environment. Applications in military field. ◦ Material behavior simulation: Studies on particular elastomers composites materials using Matlab and research for a physical law description.
NTNU - MTC
2019 - 2022
Activities and societiesLearn traditional mandarin chinese since 2019
DescriptionMandarin Intermediaries level (B1 - B2)
Master of Science (MS)・Materials engineering
2015 - 2019
Bachelor of Engineering (BEng)・General Engineering
2012 - 2015
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