Your task in writing this statement is to convince the MIT Sloan PhD Program that you will do excellent doctoral work, and that you have the promise to have a successful career as an academic researcher. Your statement should be no longer than three pages (50 lines per page); be concise. Below are some examples of the kinds of specific questions you may wish to address. ## [[Plans]] - Why do you want a career as an academic researcher? - need to portray the cutting edge technology force me to keep develop; conductors should keep themselve informed and research on evolving techniques of each instruments. I belive this indentity can be nurtured when surrounded by senior system dynamic modelers. - Are there specific reasons why you want to enter the MIT Sloan PhD Program instead of a different program? - MIT is forefront in Bayesian computation theories, practicality of Sloan vision (ideas that matter), mantra of system dynamic group "dare to tackle important problems " ## [[Interests]] - In what major field do you currently plan to work? - Principled workflow in organization for preventive maintenance. Complexity control is the main job of regulator. Design of diagnostics that flag errors are essential as organizations function revolves around the agreed upon diagnostics. Kan-ban system or risk dashboard is a great example of agreed upon representation of system. - What sort of research topic(s) excite you intellectually? Please be as specific as possible. - Designing Human-AI B-loop to knock-off analytics inequality R-loop within a society kicked off from AI R-loop in one company. - Due to different durabilities of participants, pool, pull, push strategy is needed: - pool: hierarchical Bayesian (with Hazhir on job satisfaction and Covid) - push and pull: when to add or reduce the level of hierarchy - push: SIR to SEIR, Amazon strategy to separate shopping from paying - pull: latent needs using AI - Inability of human manager to control complexity creates ## Background : Why did you decide to do a PhD in Management? Are there any aspects of your record to which the MIT Sloan PhD Program should give special attention? Preventive maintenance, Simulation testing, Hierarchical Bayesian, - My goal is to become a tenured faculty in business school. Both research and teaching, especially their synergy mesmerize me (_Working with physicists from NECSI and MIT, I constructed mathematical theory for the coarse-graining and renormalization of disease dynamics using statistical physics, linear algebra, differential equations, and Markov processes. These results form part of a publication for which I will be the second author_) - leading research community and teaching forecast estimation on justified the importance of even though I've been developing time-series forecasting and reventive maintenance comes from capability trap by Nelson shifting bases of social power and corporate advantatge. .Recently-developoed technologies allow low-cost, wide-reach communication, and democratize access to global markets, knowlede, captial, and labor. How do these developments alter the dynamics of social contention and market competition? How can we create thriving, equitable communities against this backdrop? Needs for visual tools based on samples can be Not the tree but the wood carry: This journey will be more enjoyable with my dear four recommenders. With Andrew and Tom who love computation in statistical and dynamic model, I will keep building system data science tools. With Ed who appreciate the value of hierarchy, collaboration, platform, I will make pool, project, push, pull strategy more concrete. Ensuk who values appropriate technology supported my startup for four years and will make sure my goal of goodness won't erode. ---- **Catastrophe prevention from unknown nature's law.** - Johan and startup - 153 people died in Korea from evacuation dynamic. My souls are fed by my title, tool, and target. My body operates to maintain consistency between them. Title of affordable analytics dreamer, Korea Bayes community leader, and open-source developer; tools of angel-in-us mindset, managerial-statistical-computational coupling skills, orchestrating desires; Target to increase average wellbeing. My last name Moon introduced seasonality, geocentric, retrograde concepts. Seasonality anticipates circulation, spatio-temporal feedback effect; Geocentric introduces perception, customization, bounded rationality; Retrograde seeds scepticism, adversary, regulation. Math helped me use automated mechanism of induction and sceptical philosophy of contradiction in business contexts. Startup mentors and Donella Maedows, my heart for affordable analytics beats inside me. Thanks to Stan which is program, algorithm, and ecosystem, I am learning open-source ecology where collaboration, competition, wise math professors Seasonality: dynamic is a humble acknowledgement of non-fixed. However, what is good enough frequency to update in augmented intelligence ---- ~ is my favorite symbol. Unlike the others (+, #, %), this symbol can connote the system's goal. $\theta \sim N(0,1)$, if offeres implementation blueprint for $\theta$. However, from my experience of enterpreneur and developer, I realized a wide spectrum of remainder I've been trained to bring the important ideas in the best version of matter. People perceive it as A's ideal is B (A~B) but its implemented version is far from ideal. Enterpreneur Developer Bayesian statistics allows modeling flexibility but its computation limits its freedom, pulling us back to the ground where dynamic tradeoff should be considered. Being a Bayesian computation opensource developer for two years, In the System dynamics Group, I am particularly interested in collaborating with Profs. Hazhair Rahmandad, Johan Chu, Vicky Yang. Preventive role of prior in statistical computation which prevents MCMC sampler