Senior Data Scientist

• Jan 2023 - Present

Data Scientist

• Aug 2021 - Dec 2022

Deep Learning Researcher

• May 2020 - Sep 2020

USC Center for Systems and Software Engineering - Conducted independent research in applying deep learning and representation learning to the task of generating natural language descriptions for source code (automatic source code summarization). - Designed and built a novel model with Python and TensorFlow 2, leveraging deep learning techniques such as Attention Mechanism, Gated Recurrent Units (GRU), Seq2Seq and DeepWalk. - Trained the model on 2 million Java methods and associated… Show more USC Center for Systems and Software Engineering - Conducted independent research in applying deep learning and representation learning to the task of generating natural language descriptions for source code (automatic source code summarization). - Designed and built a novel model with Python and TensorFlow 2, leveraging deep learning techniques such as Attention Mechanism, Gated Recurrent Units (GRU), Seq2Seq and DeepWalk. - Trained the model on 2 million Java methods and associated comments using mini-batch gradient descent and categorical cross-entropy loss. Improved the evaluation metric BLEU score by 5% when compared with baseline model. Show less USC Center for Systems and Software Engineering - Conducted independent research in applying deep learning and representation learning to the task of generating natural language descriptions for source code (automatic source code summarization). - Designed and built a novel model with Python and TensorFlow 2, leveraging deep learning techniques such as Attention Mechanism, Gated Recurrent Units (GRU), Seq2Seq and DeepWalk. - Trained the model on 2 million Java methods and associated… Show more USC Center for Systems and Software Engineering - Conducted independent research in applying deep learning and representation learning to the task of generating natural language descriptions for source code (automatic source code summarization). - Designed and built a novel model with Python and TensorFlow 2, leveraging deep learning techniques such as Attention Mechanism, Gated Recurrent Units (GRU), Seq2Seq and DeepWalk. - Trained the model on 2 million Java methods and associated comments using mini-batch gradient descent and categorical cross-entropy loss. Improved the evaluation metric BLEU score by 5% when compared with baseline model. Show less

Venture Capital Analyst

• Jul 2017 - Sep 2019

- Analyzed investment trends and opportunities, and conducted market research and due diligence on potential investments. Led 3 investments and facilitated more than 10 investments. - Defined innovation roadmaps and strategies with executives of industry corporate partners (such as Walmart, ExxonMobil, Panasonic, PepsiCo, etc.) and sourced startup companies based on their technology needs. - Communicated extensively with startup companies, venture capitalists and Fortune 500 corporations. - Analyzed investment trends and opportunities, and conducted market research and due diligence on potential investments. Led 3 investments and facilitated more than 10 investments. - Defined innovation roadmaps and strategies with executives of industry corporate partners (such as Walmart, ExxonMobil, Panasonic, PepsiCo, etc.) and sourced startup companies based on their technology needs. - Communicated extensively with startup companies, venture capitalists and Fortune 500 corporations.

Research Intern

• Jun 2019 - Aug 2019

- Summarized, classified and created tags for about 1000 conference papers in AI and deep learning. - Created a knowledge graph for the literature data using Neo4j graph database, which contains about 8000 entities and 160k relationships. - Queried the knowledge graph using the Cypher query language and created rules to predict future research collaborations among authors. - Summarized, classified and created tags for about 1000 conference papers in AI and deep learning. - Created a knowledge graph for the literature data using Neo4j graph database, which contains about 8000 entities and 160k relationships. - Queried the knowledge graph using the Cypher query language and created rules to predict future research collaborations among authors.

Research Assistant

• Sep 2016 - May 2017

- Create project plans to complete a functional 3D cryoprinter prototype in 9 months. - Analyze competitive landscape and key market segments for 3D cryoprinting, strategize intellectual property licensing and identify potential partners to bring product to market. - Planned, designed and executed experiments to optimize deposition conditions of 'bioink'. - Gathered and aligned data produced by team and applied Excel to perform data analysis. - Create project plans to complete a functional 3D cryoprinter prototype in 9 months. - Analyze competitive landscape and key market segments for 3D cryoprinting, strategize intellectual property licensing and identify potential partners to bring product to market. - Planned, designed and executed experiments to optimize deposition conditions of 'bioink'. - Gathered and aligned data produced by team and applied Excel to perform data analysis.

Research Assistant

• Aug 2015 - Jun 2016

- Developed a simple, fast, inexpensive and non-invasive bladder cancer detection method based on inertial microfluidics. - Led and trained 4 other student researchers to fabricate microchannel devices, perform immunostaining and characterize bladder cancer cell line. - Collaborated with the National University Hospital to submit a grant application and was awarded S$20,000 funding for preliminary clinical testing. - Presented research work at NUS Biomedical Showcase to professors and… Show more - Developed a simple, fast, inexpensive and non-invasive bladder cancer detection method based on inertial microfluidics. - Led and trained 4 other student researchers to fabricate microchannel devices, perform immunostaining and characterize bladder cancer cell line. - Collaborated with the National University Hospital to submit a grant application and was awarded S$20,000 funding for preliminary clinical testing. - Presented research work at NUS Biomedical Showcase to professors and biomedical industry entrepreneurs and was awarded the Best Poster Award. Show less - Developed a simple, fast, inexpensive and non-invasive bladder cancer detection method based on inertial microfluidics. - Led and trained 4 other student researchers to fabricate microchannel devices, perform immunostaining and characterize bladder cancer cell line. - Collaborated with the National University Hospital to submit a grant application and was awarded S$20,000 funding for preliminary clinical testing. - Presented research work at NUS Biomedical Showcase to professors and… Show more - Developed a simple, fast, inexpensive and non-invasive bladder cancer detection method based on inertial microfluidics. - Led and trained 4 other student researchers to fabricate microchannel devices, perform immunostaining and characterize bladder cancer cell line. - Collaborated with the National University Hospital to submit a grant application and was awarded S$20,000 funding for preliminary clinical testing. - Presented research work at NUS Biomedical Showcase to professors and biomedical industry entrepreneurs and was awarded the Best Poster Award. Show less