Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Hi there! My name is Tina.
About me
Page not in menu
This is a page not in th emain menu
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
experiences
projects
publications
Uncertainty Aware Wildfire Management
Published in AI for Social Good – AAAI Fall Symposium, 2020
Recommended citation: Diao, T., Singla, S., Mukhopadhyay, A., Eldawy, A., Shachter, R., & Kochenderfer, M. (2020). "Uncertainty Aware Wildfire Management". https://arxiv.org/abs/2010.07915
WildfireDB: A Spatio-Temporal Dataset Combining Wildfire Occurrence with Relevant Covariates
Published in NeurIPS 2020 Workshops - AI for Earth Sciences, 2020
Recommended citation: Diao, T., Singla, S., Mukhopadhyay, A., Eldawy, A., Shachter, R., & Kochenderfer, M. (2020). "WildfireDB: A Spatio-Temporal Dataset Combining Wildfire Occurrence with Relevant Covariates". https://ai4earthscience.github.io/neurips-2020-workshop/papers/ai4earth_neurips_2020_43.pdf
Experimental Study of Big Raster and Vector Database Systems
Published in IEEE 37th International Conference on Data Engineering (ICDE), 2021
Recommended citation: Singla, S., Eldawy, A., Diao, T., Mukhopadhyay, A., & Scudiero, E. (2021). "Experimental Study of Big Raster and Vector Database Systems" 2021 IEEE 37th International Conference on Data Engineering (ICDE) (pp. 2243-2248). https://ieeexplore.ieee.org/abstract/document/9458857
Towards More Consistent Liver Transplant Decisions in the Presence of COVID-19 (Working paper)
Published in Decision Making for Emerging Risks, Informs Decision Analysis Society, 2021
Recommended citation: Diao, T., Liu, W., Shachter, R., & Melcher, M. (2020). "Towards More Consistent Liver Transplant Decisions in the Presence of COVID-19. (Working paper)" Decision Making for Emerging Risks, Informs Decision Analysis Society.
Comparison of machine learning approaches to improve diagnosis of optic neuropathy using photopic negative response measured using a handheld device
Published in Frontiers in Medicine, 2021
Recommended citation: Diao, T., Kushzad, F., Patel, M. D., Bindiganavale, M. P., Wasi, M., Kochenderfer, M. J., & Moss, H. E. (2021). Comparison of machine learning approaches to improve diagnosis of optic neuropathy using photopic negative response measured using a handheld device. Frontiers in Medicine, 8, 771713. https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2021.771713/full
Perspectives on Managing Risks in Energy Systems
Published in Probabilistic Safety Assessment and Management (PSAM), 2022
Recommended citation: Kim, R., Diao, T., Coots, M. (2021). Perspectives on Managing Risks in Energy Systems. the 16th Probabilistic Safety Assessment & Management Conference (2022) https://www.iapsam.org/PSAM16/papers/RI64-PSAM16.pdf
teaching
Decision Analysis Courses (TA)
Undergraduate and graduate courses, Stanford University, Department of Management Science & Engineering, 2016
Coherent approach to decision making, using the metaphor of developing a structured conversation having desirable properties, and producing actional thought that leads to clarity of action. Socratic instruction; computational problem sessions. Emphasis is on creation of distinctions, representation of uncertainty by probability, development of alternatives, specification of preference, and the role of these elements in creating a normative approach to decisions. Information gathering opportunities in terms of a value measure. Relevance and decision diagrams to represent inference and decision. Principles are applied to decisions in business, technology, law, and medicine.
Probability Courses (TA)
Undergraduate and graduate courses, Stanford University, Department of Management Science & Engineering, 2018
Concepts and tools for the analysis of problems under uncertainty, focusing on structuring, model building, and analysis. Examples from legal, social, medical, and physical problems. Topics include axioms of probability, probability trees, random variables, distributions, conditioning, expectation, change of variables, and limit theorems.
Introduction to Operations Management (PI)
Graduate course, Stanford University, Department of Management Science & Engineering, 2020
Operations management focuses on the effective planning, scheduling, and control of manufacturing and service entities. Achieving operations excellence is essential to improving efficiency and effectiveness. This course introduces students to a broad range of key issues in the operations function of a firm. Topics include production planning, optimal timing and sizing of capacity expansion, inventory control, supply chain management, revenue management as well as modern operations tools that involve game theoretic considerations and machine learning.