馬里蘭大學(xué)博士
長江商學(xué)院科技與運(yùn)營教授、杰出院長講席教授
企業(yè)家學(xué)者項(xiàng)目學(xué)術(shù)主任
數(shù)字化轉(zhuǎn)型研究中心主任
孫天澍教授現(xiàn)任長江商學(xué)院科技與運(yùn)營終身教授、杰出院長講席教授，企業(yè)家學(xué)者DBA項(xiàng)目學(xué)術(shù)主任，數(shù)字化轉(zhuǎn)型中心主任，在南加州大學(xué)獲得終身教職以及Robert Dockson講席教授，同時(shí)兼任商學(xué)院與計(jì)算機(jī)系博士生導(dǎo)師。孫天澍的研究跨界結(jié)合AI數(shù)字化技術(shù)設(shè)計(jì)與商業(yè)設(shè)計(jì)，聚焦在企業(yè)和產(chǎn)業(yè)的“AI業(yè)務(wù)架構(gòu)”和“業(yè)務(wù)數(shù)字化轉(zhuǎn)型”，特別是AI場景設(shè)計(jì)，AI業(yè)務(wù)重構(gòu)，AI智能組織，AI人才體系，數(shù)據(jù)資產(chǎn)，信息系統(tǒng)，以及業(yè)務(wù)數(shù)字化戰(zhàn)略。孫天澍在中美頂尖企業(yè)有豐富的工作經(jīng)歷與合作實(shí)踐（如Facebook，Adobe等），并擔(dān)任多家中國頂級(jí)企業(yè)的董事和資深顧問，數(shù)字化商業(yè)設(shè)計(jì)、數(shù)據(jù)科學(xué)方法和AI算法系統(tǒng)在多個(gè)行業(yè)的全鏈路場景落地。孫天澍近年的學(xué)術(shù)研究和產(chǎn)業(yè)實(shí)踐尤其關(guān)注AI與商業(yè)的融合與重構(gòu)—特別是AI大模型，AI智能體，大數(shù)據(jù)，云計(jì)算，物聯(lián)網(wǎng)和具身智能如何持續(xù)的改變?nèi)懒闶郏煜t(yī)藥，金融，智能制造，餐飲生活和企業(yè)服務(wù)等行業(yè)。
孫天澍受邀在頂級(jí)大學(xué)(哈佛,MIT,沃頓商學(xué)院,芝加哥,斯坦福等)以及國際頂級(jí)學(xué)術(shù)會(huì)議上發(fā)表八十多場學(xué)術(shù)演講，并在Facebook, Google, Snapchat, 領(lǐng)英, 優(yōu)步, 阿里巴巴, 中信集團(tuán), 人民日?qǐng)?bào)集團(tuán)等頂級(jí)機(jī)構(gòu)做AI大模型，數(shù)字化轉(zhuǎn)型，數(shù)據(jù)資產(chǎn)和平臺(tái)戰(zhàn)略的邀請(qǐng)分享和培訓(xùn)。孫天澍的研究論文發(fā)表在信息系統(tǒng)，機(jī)器學(xué)習(xí)，運(yùn)籌優(yōu)化，經(jīng)濟(jì)學(xué)和商學(xué)院國際頂級(jí)期刊與會(huì)議，獲得16項(xiàng)最佳論文獎(jiǎng)(包括芝加哥大學(xué)頒發(fā)的Wittink Prize年度最佳論文獎(jiǎng))，以及南加州大學(xué)頒發(fā)的年度最佳教授獎(jiǎng)(Golden Apple Award)。孫天澍教授擔(dān)任多個(gè)國際頂級(jí)期刊常務(wù)和客座編委(MS, ISR, MISQ, MSOM)和國際會(huì)議大會(huì)聯(lián)席主席(CIST,WEBEIS)，并獲得多個(gè)頂級(jí)機(jī)構(gòu)的研究支持，指導(dǎo)的博士學(xué)生在UIUC、Queens、ASU、SCU等學(xué)校擔(dān)任教職，培養(yǎng)的研究助理和研究生在MIT、沃頓商學(xué)院、康奈爾、明尼蘇達(dá)、香港科技大學(xué)等攻讀博士。孫天澍本科畢業(yè)于南京大學(xué)物理系，在馬里蘭大學(xué)修讀物理，電子工程與經(jīng)濟(jì)學(xué)博士課程，獲得信息系統(tǒng)博士學(xué)位。
● AI業(yè)務(wù)架構(gòu)
● AI智能體場景應(yīng)用
● AI驅(qū)動(dòng)的人機(jī)協(xié)同和下一代智能組織
● 業(yè)務(wù)數(shù)字化轉(zhuǎn)型
● 數(shù)字化平臺(tái)戰(zhàn)略
● 數(shù)字化創(chuàng)新組織
● 數(shù)字化應(yīng)用技術(shù) (云計(jì)算,大數(shù)據(jù),物聯(lián)網(wǎng), IaaS/SaaS/PaaS)
● 數(shù)據(jù)科學(xué)與數(shù)據(jù)驅(qū)動(dòng)的決策 (因果分析，機(jī)器學(xué)習(xí)與大規(guī)模實(shí)驗(yàn)設(shè)計(jì))
● 數(shù)據(jù)資產(chǎn)，隱私，流通和定價(jià)，數(shù)據(jù)網(wǎng)絡(luò)效應(yīng)，以及大數(shù)據(jù)和人工智能對(duì)社會(huì)的影響
● 互聯(lián)網(wǎng)平臺(tái)的戰(zhàn)略，競爭與監(jiān)管
● 產(chǎn)業(yè)數(shù)字化政策與標(biāo)準(zhǔn)(數(shù)據(jù)標(biāo)準(zhǔn), 人才教育, 軟件生態(tài))
● 管理信息系統(tǒng)與企業(yè)軟件服務(wù)
● 新零售，新制造與新金融
Published/Accepted Papers
26.Wen Wang, Siqi Pei, and Tianshu Sun (2025) "Unraveling Generative AI from A Human Intelligence Perspective: A Battery of Experiments", Forthcoming, Information Systems Research
25.Zhe Yuan, Tianshu Sun, Yitong Wang, and Huilan Xu (2025), "Democratizing Data Analytics Product to Drive SME Growth: A Natural Experiment", Forthcoming, Manufacturing & Service Operations Management
24.Aishwarya Deep Shukla, Guodong (Gordon) Gao, Ritu Agarwal and Tianshu Sun (2025) “Effects of Nudging and Privacy Control on Online Physician Reviews: Evidence from a Field Experiment”, Forthcoming, Journal of Management Information Systems
23.Tianshu Sun, Zhe Yuan, Chunxiao Li, Kaifu Zhang, Jun Xu (2024) The Value of Personal Data in Internet Commerce: A High-Stake Field Experiment on Data Regulation Policy, 70(4):2645-2660, Management Science
(See a review paper with Leading Economists on Data Value, Data Privacy, and Data Regulation which covers some of the experiment findings.
Presented/Scheduled at Harvard, MIT, U Chicago, CMU, NYU, UCLA, USC, BU, UT Austin, UMN, UBC, Purdue, Tsinghua, etc.
22.Zhe Yuan, AJ Chen, Yitong Wang, and Tianshu Sun (2024) "How Recommendation Affects Customer Search: A Field Experiment", Forthcoming, Information Systems Research
21.JaeHwuen Jung, Tianshu Sun, Ravi Bapna, and Joseph Golden (2024) “Social Learning in Prosumption: Evidence from a Randomized Field Experiment”, Forthcoming, Management Science
20.Andrew Heeseung Lee, Angela Choi, Tianshu Sun, Wonseok Oh, "To Split or to Merge?: How Partitioning Affects Consumption and Engagement with Digital Content", Forthcoming, Information Systems Research
19.Brian Rongqing Han, Tianshu Sun, Leon Yang Chu, Lixia Wu (2024) “Connecting Customers and Merchants Offline: Experimental Evidence from The Commercialization of Last-Mile Pickup Stations at Alibaba” (CODE 2018, WISE 2018, ICIS 2019, SCECR 2019), MIS Quarterly, 48(3): 1157-1192
18.Tianshu Sun, Max Wei and Joe Golden (2025), Geographical Pattern of Online Word-of-Mouth: How Offline Environment Influences Online Sharing, Forthcoming, Information Systems Research
17.Brian Rongqing Han, Leon Yang Chu, Tianshu Sun, Lixia Wu (2024) “Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses”, (WISE 2019 Best Student Paper), Forthcoming, Management Science
16.Ruomeng Cui, Zhikun Lu, Tianshu Sun, Joseph Golden (2024) "Sooner or Later? Promising Delivery Speed in Online Retail", (ICIS 2021 Best Paper in "Digital and Mobile Commerce"), Manufacturing & Service Operations Management, 26(1):233-251.
15.Yicheng Song and Tianshu Sun (2024) “Ensembling Experiments to Optimize Customer Journey: A Reinforcement Learning Approach” , Management Science, 70(8):5115-5130.
--Adobe Faculty Research Award 2020, Marketing Science Institute (MSI) Research Grant 2021
14.Wilson Lin, Susan Feng Lu, Tianshu Sun (2023) "Worker Experience and Donor Heterogeneity: The Impact of Charitable Workers on Donors’ Blood Donation Decisions", Manufacturing & Service Operations Management, 25(3):939-957.
13.Brian Han, Tianshu Sun, Leon Chu and Lixia Wu (2022) “COVID-19 and E-commerce Operations: Evidence from Alibaba”, Manufacturing & Service Operations Management, 24(3):1388-1405
12.Tianshu Sun, Siva Viswanathan and Elena Zheleva (2021) “Creating Social Contagion through Firm Mediated Message Design: Evidence from a Randomized Field Experiment”, Management Science, 67(2), 808-827.
-- Best Dissertation Proposal (Runner-up), WITS 2015; Best Paper (Finalist), CSWIM 2015; Best Student Paper (3rd Place), INFORMS Service Science Society 2014; Winner, Marketing Science Institute (MSI) Research Competition 2014
11.Tianshu Sun and Sean Taylor (2020) “Displaying Things in Common to Encourage Friendship Formation: A Large Randomized Field Experiment”, Quantitative Marketing and Economics, 18, 237-271.
-- Winner of Dick Wittink Prize (Best Published Paper in QME 2020), Included in the Proceedings of ACM EC 2019, Talks at Facebook, LinkedIn, Snap, CODE/MIT, Wharton, CMU, BU, ASU, CUHK, KAIST, PKU, Tsinghua, Jiaotong
10. Heeseung Andrew Lee, Angela Aerry Choi, Tianshu Sun, Wonseok Oh (2021) “Reviewing Before Reading? An Empirical Investigation of Book Consumption Patterns and Their Effects on Reviews and Sales”, Information Systems Research, 32(4), 1368-1389.
9.Tianshu Sun, Siva Viswanathan, Ni Huang and Elena Zheleva (2020) “Designing Promotional Incentive to Embrace Social Sharing: Evidence from Field and Online Experiments”, MIS Quarterly, 45(2), 789-820
8.Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun (2021) “A Prescriptive Analytics Framework for Optimal Policy Deployment using Heterogeneous Treatment Effects”, MIS Quarterly, 45(4), 1807-1832
7.Ni Huang, Probal Mojumder, Tianshu Sun, Jinchi Lv, Joseph Golden “Not Registered? Please Sign-up First: A Randomized Field Experiment on the Ex-ante Registration Request”, Information Systems Research, 32(3), 914-931 (Equal Contribution)
6.Mingxuan Yue, Tianshu Sun, Fan Wu, Lixia Wu, Yinghui Xu and Cyrus Shahabi (2020) “Learning Contextual and Topological Representations of Areas-of-Interest for On-Demand Delivery Application”, Proceedings of the 2020 European Conference on Machine Learning
-- ECML-PKDD 2020 Best Applied Data Science Award, Runner-up
5.JaeHwuen Jung, Ravi Bapna, Joseph Golden and Tianshu Sun (2020) (All contribute equally) “Words Matter! Towards Pro-social Call-to-Action for Online Referral: Evidence from Two Field Experiments”, Information Systems Research, 31(1), 16-36.
-- Knowledge@Wharton; Best Paper Finalist & Best Paper in E-Business, ICIS 2016
4.Tianshu Sun, Guodong (Gordon) Gao and Ginger Zhe Jin (2019), “Mobile Messaging for Offline Group Formation in Prosocial Activities: A Large Field Experiment”, Management Science, 65(6), 2445-2945.
-- Best Paper, CIST 2015; Best Paper (Honorable Mentions), INFORMS Doing Good with Good OR 2015; Best Student Paper (Finalist), WHITE 2015
3.Tianshu Sun, Lanfei Shi, Siva Viswanathan and Elena Zheleva (2019) “Motivating Effective Mobile App Adoption: Evidence from a Large-Scale Randomized Field Experiment”, Information Systems Research, 30(2), 523-539.
-- CIST 2016, SCECR 2016, Marketing Science 2017, Temple University 2017
2.Ni Huang, Tianshu Sun, Pei-yu Chen and Joseph Golden (2019) “Word-of-Mouth System Implementation and Customer Conversion: A Randomized Field Experiment”, Information Systems Research, 30(3), 805-818.
-- Best Paper (Finalist), ICIS 2017; Best Paper, ICIS E-Business Track 2017, CIST 2017
1.Tianshu Sun, Susan Feng Lu and Ginger Zhe Jin (2016), “Solving Shortage in a Priceless Market: Evidence from Blood Donation”, Journal of Health Economics, 48(2016):149-165.
-- Featured on Nobel Prize Laureate Al Roth’s blog and in NBER News; Winning Proposal, Institute for New Economic Thinking (INET) & Soros Foundation, 2013
Selected Working Papers
27.“Understanding the Impacts of De-personalization in Search Algorithms: A Field Experiment with a Large Online Platform”, with Yuxin Chen, Zhe Yuan and AJ Chen, Major Revision, Management Science
28.Xing Lan, Tianshu Sun, Jason Duan (2024) “Uncovering Offline Conversion Funnel with Internet-of-Things: the value of IoT data in Retailing Industry”, (Marketing Dynamics 2018, CIST 2018, ISMS 2017, POMS 2019, SCECR 2019), Major Revision, Information Systems Research
29.Yicheng Song and Tianshu Sun, Consumer Search and Dynamic Preference: A Deep Structural Econometric Model, Major Revision, Management Science
-- Best Conference Paper (Runner-up), CIST 2023
30.Wen Wang, Mochen Yang, and Tianshu Sun (2024) "Human-AI Co-Creation in Product Ideation: the Dual View of Quality and Diversity", Major Revision
31.Zhikun Lu, Ruomeng Cui, Tianshu Sun and Lixia Wu (2024), "The Value of Last-mile Delivery in Online Retail", Major Revision, Management Science
32.Wen Wang, Zhenyue Zhao, and Tianshu Sun (2024) "Customizing Large Language Models for Business Context: Framework and Experiments", Major Revision
33.Bowen Lou, Hongshen Sun and Tianshu Sun, "GPTs and Labor Markets in the Developing Economy: AI, Geography and Policy", Major Revision
34.Mengxia Zhang, Brian Han,, Tianshu Sun, Lan Luo and Joe Golden (2024) “Consumer and AI Co-creation: When and Why can human Improve AI Creation?”, Under Review
35.“IBASE: Adaptive Causal Inference by Integrating Big Data and Small Experiment”, with Jinchi Lv (Adobe Faculty Research Award 2017-2018)
36.James Enouen, Tianshu Sun and Yan Liu, "Measuring, Interpreting, and Correcting Algorithm Unfairness using Randomized Experiments", Working Paper
37.Matteo Sesia and Tianshu Sun, "Searching for subgroup-specific associations while controlling the false discovery rate", Under Review
38.Xinze Du, Yingying Fan, Jinchi Lv, Tianshu Sun and Patrick Vossler “Dimension-Free Average Treatment Effect Inference with Deep Neural Networks”, Major Revision, Journal of Econometrics
39.Bowen Lou, Zhe Yuan, Tianshu Sun, Lu Fang (2024), "Enhancing Complementor Innovation through Market Information", Working Paper (ICIS 2024)
40.Yan Leng and Tianshu Sun (2023), Algorithm-defined Data Network Effect: Simulated and Field Experiments, Working Paper
41."Handbook on Digital Platforms" (Cambridge University Press), with Daniel Sokol, Anthony Dukes, Feng Zhu, Work-in-Progress
42.Sipeng Zeng, Wang Jin and Tianshu Sun, The Value of Data in the Digital Economy: Investigating the Economic Consequences of Personal Information, Working Paper (WISE 2024)
43.Shuyi Dong, Wang Jin and Tianshu Sun, AI Investment and Firm Performance: Insights from China, Working Paper
44.Sipeng Zeng, Wang Jin and Tianshu Sun, Digital Leadership Edge: Chairman Traits and Their Impact on Digital Transformation, Working Paper
45.Brian Han and Tianshu Sun, "Field Experiment on Digital Platforms", Under Review
46.Brian Han and Tianshu Sun, AI’s Invisible Hand: How Algorithms and Personal Data Shape Consumers and Competition, Under Review
Report on Data Value, Data Privacy and Data Regulation:
Patrick Bolton, Long Chen, Bengt Holmström, Eric Maskin, Sir Christopher Pissarides, Michael Spence, Tao Sun, Tianshu Sun, Wei Xiong, Liyan Yang, and et al. (2021) “Understanding Big Data: Data Calculus in the Digital Age". Luohan Academy Report.
Report on Digital Experimentation:
Ravi Bapna, Gordon Burtch, Yili Hong, Tianshu Sun, Jason Thatcher, "Lab experiment and field experiment in the digital age: Friend or foe?" Proceedings of the International Conference on Information Systems (ICIS 2018)
