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Our research projects surround building algorithms and AI/ML-driven models that provide trustworthy time series prediction for financial equity (e.g., stock, cryptocurrency) in the global market indices (e.g., S&P 500, Dow Jones). We aim to provide investors with deep neural models that estimate trading probability, thereby giving out trend forecasting results to mitigate portfolio risk. In addition, we also develop LLM/SLM-based agents for efficient information retrieval and processing on diverse domain data, helping workers work more effectively. To sustain the fast-paced technology sector, I have founded The Neurone Group, where we engineer niche applications of Computer Vision and Physical AI in real-world agentic systems.
Pressure is a made-up thing, it only comes when you choose not to do something you are capable of.
Investors' safety and financial vision are the two largest motivations that drive a finance student to become an AI Engineer and Researcher. The equity market is filled with chaos and unpredictable patterns, urging users to apply technical techniques to understand its nature for hedging and investing.
However, decision-making still poses a 50/50 chance, as no experts are confident enough to say, "I understand the market situation." That is where we come in. We hope to develop tools that utilize a top-notch tech stack, from statistics to AI/ML, to learn and predict based on historical momentum, offering investors a safer backbone for investment decisions.
Recognizing my work, Hitachi Digital Services offered me a full-time AI Engineer position in 2024. Academically, my publications have reached over 1,400 reads on SSRN, ranking me in the top 4% of most influential global researchers. These research papers have earned over 11 citations from experts on Google Scholar. My story of transitioning from Finance to AI has inspired numerous peers and young individuals to grasp technological opportunities.
My article on AI's impact in Industry 5.0 has reached over 50,000 views in total across media pages. I have participated in 3+ international conferences in the fields of Economics and Engineering, with audience sizes ranging from 100 to 600 participants. I was recognized as a young pioneer in the AI landscape by Bloomberg, joining their largest annual event as a Guest Speaker.
You do not have any challenges or pressure. There have always been ups and downs, but I never actually considered them problems, but rather opportunities because you have the chance to learn, debate, grow, and fail. You learn little from success.