Quantitative Research Intern
CurrentWorking on state-of-the-art technologies to improve the efficiency and accuracy of the quant trading information system.
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Fan Huang is listed as Informatics PhD (Complex Networks and Systems) Student @ IUB | NTU MSc (Info Systems) | Research in Human-AI Interactions at Quantlab Group, a company with 169 employees, based in Bloomington, Indiana, United States. AeroLeads shows a matched LinkedIn profile for Fan Huang.
Fan Huang previously worked as Quantitative Research Intern at Quantlab Group and Research Assistant at Indiana University Bloomington. Fan Huang holds Doctor Of Philosophy - Phd, Complex Networks And Systems from Indiana University Bloomington.
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I will always utilize my analytical skills to achieve understanding and find insights from theories and application scenarios. My inner motivation of advancement-seeking will drive me to generate new ideas and build improvements, which could then contribute to research and business applications. I am currently researching human-AI alignment and large language models. I am now seeking further opportunities to improve my research and business capabilities.Please find my latest news and full publication list herein: https://sites.google.com/view/fanhuang/
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Houston, Texas, United States
Working on state-of-the-art technologies to improve the efficiency and accuracy of the quant trading information system.
Bloomington, Indiana, United States
As an Informatics Ph.D. Student, working on the research topic of Explainable Natural Language Generation and Human-Involved Evaluation under the supervision of Professor Jisun An and Professor Haewoon Kwak.
Singapore
News Event Extraction & Cross Document Coreference Resolution
Hefei, Anhui, China
Working on the specific optimization problems encountered in the construction of the automated devices which is used in many big industrial companies.Development and Optimization of the AGV dispatch system in WINDOWS. Working mainly on testing and improving the operating efficiency of the system.
Nanjing, Jiangsu, China
Working on the following specific problems encountered in the construction of the automated devices which belong to the State Grid Jiangsu Electric Power Co., Ltd.Development and Optimization of Motion Scheduling Algorithm for Warehouse Four-way Shuttle CarDevelopment and Optimization of Path Planning Algorithm for Unmanned Forklift
Other employees you can reach at quantlab.com. View company contacts for 169 employees →
Peter Luong
Colleague at Quantlab GroupUnited States, United States
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Tin Nguyen
Colleague at Quantlab GroupHouston, Texas, United States, United States
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Ethan Anderson
Colleague at Quantlab GroupDenver, Colorado, United States, United States
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Robert Rubio
Colleague at Quantlab GroupHouston, Texas, United States, United States
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Lars Seemann
Colleague at Quantlab GroupHouston, Texas, United States, United States
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Travis Leconey
Colleague at Quantlab GroupKemah, Texas, United States, United States
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Ray(Zhibai) Chen
Colleague at Quantlab GroupUnited States, United States
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Nadya_Adp Derzhi
Colleague at Quantlab GroupHouston, Texas, United States, United States
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Chris Karpinsky
Colleague at Quantlab GroupGreater Boston, United States
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Jian Li
Colleague at Quantlab GroupNew York City Metropolitan Area, United States
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Activities and Societies: Member of Google Developer Student Club @ NTU Tech Mentor of IEEE NTU Student Branch
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Fan Huang works for Quantlab Group.
Fan Huang is listed as Informatics PhD (Complex Networks and Systems) Student @ IUB | NTU MSc (Info Systems) | Research in Human-AI Interactions at Quantlab Group.
Fan Huang is based in Bloomington, Indiana, United States while working with Quantlab Group.
Fan Huang has worked for Quantlab Group, Indiana University Bloomington, Singapore Management University, Hefei Gensong Automation Technology Co., Ltd, and Jiangsu Zhiku Logistic Technology Co., Ltd.
Fan Huang's colleagues at Quantlab Group include Peter Luong, Tin Nguyen, Ethan Anderson, Robert Rubio, and Lars Seemann.
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Fan Huang holds Doctor Of Philosophy - Phd, Complex Networks And Systems from Indiana University Bloomington.
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