Yan Luo

Yan Luo is an award-winning AI researcher and serial entrepreneur whose scholarship and venture practice converge on explainable artificial intelligence, urban mobility, and geospatial data science. At the MIT Media Lab she pilots high-impact, multi-institution collaborations that move ideas from white-board to orbit—literally.

Signature Academic Initiatives 

1. South-Asian National Mobility Observatory – Luo single-handedly negotiated the mobility field’s first decade-long, country-scale data alliance with the largest ride-hailing & logistics platform in a South-Asian nation, securing MIT exclusive academic access to anonymized, individual-level trip records. She introduced the GDPR-grade data-use protocol, assembled a tri-lateral team of three MIT professors and six doctoral candidates, and now leads the technical roadmap. Under her direction the team has already increased the partner’s offline-to-online conversion rate significantly; a multi-paper research stream on anisotropic flow transformers is forthcoming.

2. Global Foundation Explainable-AI Program – Tasked by a world-renowned foundation to quantify how prospective land-use changes would reshape city-wide performance, Luo built an end-to-end explainable model that lets non-technical stakeholders visualize how every parcel-level input propagates to aggregate urban outcomes. The tool compressed scenario-evaluation time from weeks to hours; its anisotropic transformer-based flow predictor now guides the client’s multi-hundred-million-dollar real-estate expansion strategy and has yielded IEEE/ACM publications. 

3. NASA Zero-Robotics ISS Deployment – Luo translated her Media Lab algorithms into flight-ready C++ modules resident on the Astrobee free-flying robot aboard the International Space Station. Her code performs real-time occupancy-mapping and collision-avoidance for autonomous micro-gravity navigation—work that cleared NASA safety review in a single iteration. She also created the gesture-recognition pipeline that has become a centerpiece of the annual Zero-Robotics competition for Massachusetts high-school students. 

4. Hong Kong Smart-City AI Hub – As core AI architect for a HK$33.3 M government Theme-based Research project, Luo designed the federated-learning backbone now used by the Hong Kong Transport Department to forecast real-time traffic conditions and dynamic congestion pricing, directly informing the 2024 Policy Address. 

Selective Honors 

Hong Kong PhD Fellowship (top 1 % worldwide), Schmidt Science Fellows institutional nominee, Chinese National Scholarship (top 0.2 %), SIGIR & KDD Student Awards, MIT & HK entrepreneurship-competition winner. Standing reviewer for NeurIPS, ICML, ICLR, CVPR, WWW; mentor to >10 undergraduates now at Tsinghua, Zhejiang, and Wuhan Universities. 

Entrepreneurial Record 

Founder of an AI physical-therapy venture that attracted acquisition interest within nine months; solo founder of a HKSTP-funded Hong Kong startup; Y Combinator CEO interviewee; operator of a 10-bed nonprofit tech residency that maintains 100 % occupancy among top-tier AI founders.  

Publications & Talks 

10+ peer-reviewed articles, 7 as first/co-first author, 250+ citations (by 2025). Work appears in IEEE TNNLS, IEEE TCSS, ACM SIGSPATIAL, ACM CIKM. Invited tutorials delivered at MIT, UCL, Oxford, Purdue, Tsinghua, Peking University, and the American Association of Geographers. 

Luo holds a Ph.D. in Computing from The Hong Kong Polytechnic University and continues to direct MIT-affiliated research on privacy-preserving mobility analytics, transformer-based spatio-temporal models, and scalable AI for urban policy.