I've been a materials science, AI researcher and tech enthusiast for over 10 years. Over the course of my career I've included back-end developments for data acquisition, automation and AI for research analytics and continue to do so on a daily basis. My day-to-day includes communications to build strong, productive relationships with a broad variety of supervisors, collaborators and stakeholders to conceptualize and design roadmaps of numerous research projects across multiple disciplines (physics, chemical engineering, data science, computational modelling); the workload is then delegated to graduate students following agile philosophy. Currently, my interests are in building real-life blockchain applications. In particular, I am exploring end-to-end solutions related to Oracle and the IoT space as part of the first cohort in the Plutus pioneering program.
Work Experience
Project: NASA-funded Artificially Intelligent Manufacturing of Flexible Electronics
Primary role:
I am the project lead to deploy state-of-the-art machine learning approaches to optimize the manufacturing process of flexible electronic circuits. I have a deep understanding in materials characterizations and discerning a broad variety of data quality obtained from multiple equipment. In writing grant proposals, I define the roadmaps for new projects following market needs as well as funding agency goals. Following the agile philosophy, I prioritize the tasks from multiple supervisors across different disciplines (data science, experimental characterizations, and computational modelling) and communicate bi-monthly the project status to external stakeholders. I provide training, and delegate work to several graduate students (2 PhD, 4 Masters) and guide them towards their personal growth.
Secondary role:
• Author/maintainer of python packages and gitbook documentation
• Publish and present research at international conferences
Project: DAAD-funded Australia-Germany Joint Research Cooperation Scheme
I ran several highly critical experiments at national laboratories, about 2-3 times a year over a span of 3 years. The limited opportunities resulted in situations where handling complex technical problems under pressure are common. In that time, I gained deep knowledge about 2D materials for advanced semiconductor applications and developed complex data analytics and modelling using Python. My experimental data corroborated well with atomistic simulations that I ran at high performance computing facilities. My project was an international effort between Australia, Germany and Korea, which relied on strong communication skills in both English and German.
Project: German BMBF federal-funded optical technologies in innovative small and medium-sized enterprises, reference: 13N12282
I characterized and developed new laser systems as manufacturing tools for LIMO GmbH. I learnt and applied a statistical design of experiments to optimize efficiency of cutting stainless steel up to 6 mm. Progress were presented in bi-annual meetings with industrial partners. Additionally, I helped develop the automated system in laser processing semiconductor substrates for Rosen GmbH with an output of 3000 pieces a day. I finished tasks setup by project managers using Jira.