Cambridge, England, United Kingdom
Research identity: Algorithmic innovation’s configurations and mechanisms for value creation in organizational and strategic settings. Y4 Cambridge PhD in Engineering candidate for the human algorithm interactions for analytical creativity. I have a background in computer science, with analytical training for quantitative finance strategy development. Focusing on theoretical contribution targeting for FT50 journals in the field of technology and innovation management, with interfaces with information systems and strategy.
- MPhil/ PhD candidate at the Engineering Department, Manufacturing Management Division (E). - Apply computer science and electronic engineering techniques for manufacturing a better world practically. - Absorbed wide resources from the wide Cambridge ecosystem.
• Participated in the discussion at Innovate UK, engaging in a scoring exercise to evaluate case studies. • Reviewed case study materials and guidance to prepare for the specific questions. • Collaborated with fellow researchers to provide feedback and insights.
• Served as an Ad Hoc Reviewer for the ACM Transactions on Social Computing, evaluating research submissions in LLM. • Provided critical feedback on the paper to enhance the quality of published research.
• Conducted thorough reviews of manuscripts for California Management Review, ensuring high academic standards. • Provided constructive feedback to authors, enhancing the quality of published research. • Collaborated with editorial teams to improve efficiency and turnaround times.
• Developed and managed trading algorithms for the QRT Trading and Risk Management Academy, enhancing students' practical trading skills. • Facilitated the submission of portfolio targets via SFTP, ensuring accurate data transfer and compliance with trading parameters. • Analyzed daily performance reports, providing insights on P&L, risk assessment, and position summaries to optimize trading strategies.