Wang Akang: A Journey from Chemical Engineering to Mathematical Optimization Research
Wang Akang’s journey is a testament to the power of interdisciplinary exploration. Originally majoring in Chemical Engineering, Wang was influenced by friends and classmates to broaden his horizons, which sparked his determination to pursue a PhD abroad. He chose to attend Carnegie Mellon University, where he focused on Process Systems Engineering. Here, he began to apply mathematical optimization techniques to the systematic design of chemical processes, gradually shifting his research focus toward mathematical optimization.
After completing his PhD, Wang returned to China and spent a few months working in the internet sector. However, he found the commercial atmosphere too intense and unappealing. Shortly thereafter, an opportunity arose to join a research institute, and he seized it without hesitation.
Despite being a newcomer, Wang quickly acclimated to the research environment. He appreciated the valuable opportunity to communicate directly with many esteemed professors and collaborate with colleagues and students who possess impressive backgrounds from both domestic and international institutions. He noted that the working atmosphere at the institute differed significantly from that of traditional research institutions or universities, offering a unique blend of a focused problem-solving environment and practical collaboration with large enterprises.
The research institute comprises three research institutes and nine laboratories, each specializing in different areas, yet often intersecting in their work. Wang emphasized that such opportunities to explore new fields are rare, even in large companies. More importantly, being part of a research institute led by world-class experts has made it easier to access numerous exploration and networking opportunities. The institute's growing influence has also attracted many talented students, and researchers can connect with more industry professionals through their roles as “Research Scientists” at the Shenzhen Research Institute of Big Data.
Reflecting on his earlier days in the PhD program, Wang recalled observing his professors working 15-16 hour days, seemingly trapped in a cycle with no end in sight. At that time, he didn’t understand the drive that compelled them, nor did he want to follow in their footsteps. Now, however, he finds himself fully immersed in research. He describes his transformation with a sense of nostalgia, acknowledging that the pursuit of research has granted him invaluable “intellectual satisfaction.”
When asked if he has any regrets about his journey, Wang firmly stated, “The only regret I have is not joining the research institute sooner.” His previous corporate experience only reinforced his belief that working in the institute allowed him to truly “work for myself.”
In his research, Wang places significant emphasis on the importance of discussion and summarization, which he considers one of the best learning methods. He often highlights the crucial role of mathematics as a fundamental discipline, despite its inherent challenges. This philosophy serves as motivation for himself and a shared encouragement for young researchers embarking on their own academic journeys.