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This is a data science project that performs auto-peak-recognition and integration to make decisions during chemical reactions. The project is part of the central algorithm from this publication. The explanation of the peak recognition algorithm can be found here and the code can be found here.
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This is a project that utilizes noisy torque data from the Kinova robotic arms to predict the weight of an object that the arm is holding. This project is under the publication process and the current state of the code is available here.
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This is a machine learning project that uses natural language processing (bag-of-words) to predict whether a customer is going to repute a service. The project is made reproducible and auditable using make and docker. The detail of this project can be found here.
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This is a personal interest project that uses mirai and nonebot to create a customized chatting bot for the social media software Tencent QQ. The bot is connected using gocqhttp and is integrated with the current ChatGPT chatting service. The repository can be found here.
Published in Journal of Chemical Education, 2021
In this paper, we constructed a voice-activated system that is shaped for interactive virtual experiment teaching laboratories. The work features simple natural language processing and human-computer interaction to leverage computer programming and laboratory electronics to provide an accessible virtual laboratory for students.
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Published in iScience, 2021
We investigated a closed-loop automated system for continuous solubility screening. We developed a computer vision algorithm to quantify the turbidity of the solution and use additive liquid dispense to find the solubility without human intervention.
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Published in Chemistry-Methods, 2022
We developed an autonomous reaction platform that can carry out a one-pot, multi-step reaction. My work in this project is to develop an algorithm that can accurately characterize the endpoint of a reaction based on raw data given by analytical equipment like HPLC and IR.
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Published in Device, 2023
We modelled the torques of robotic arm’s joint using linear and support vector regression with scikit-learn. These models enable a robotic arm with torque sensors to predict the weight of a held object.
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This talk was my first research in experimental chemistry. The project focuses on discovering a novel organic material with magnetism. The presentation slides can be found here.
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This presentation is about leveraging machine learning tools for the classification of a certain chemical structure. A data analysis pipeline is built and we achieved a 90% accuracy using the SVM model. The presentation slides can be found here.
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This is the presentation of my honour graduation defense. It includes an investigation of laboratory automation in quantitative and qualitative analysis achieved using Python. The presentation slide can be found here.
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This presentation was held by German-Canadian Materials Acceleration Centre (GC-MAC) and I was the main speaker representing the Hein Lab to present our work in autonomous platforms for material discovery acceleration. The presentation slides can be found here.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.
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This is the final report of a machine learning project in which we utilized SVM as the classifier for chemical structure characterization. The writing can be found here.
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This is my graduation thesis working on two types of automation projects using numerical data processing and computer vision. The thesis can be downloaded here.