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Colloquium - Yang Li, Meta, Resource Management: Cloud and AI

Thursday, January 26, 2023 - 4:25pm

Resource management significantly impacts the performance and availability of cloud infrastructure. In the first part of my talk, I will introduce my work on managing memory, cache, and power resources to boost the performance and availability of cloud infrastructure. On memory resources, we propose UH-MEM, a utility-based data placement technique for hybrid memory. Read more about Colloquium - Yang Li, Meta, Resource Management: Cloud and AI

Colloquia - Haohan Wang, Toward Trustworthy Machine Learning to Understand the Genetic Basis of Phenotyped Subtypes of Alzheimer's Disease, Virtual, 4:25 - 5:25 pm

Monday, December 13, 2021 - 4:25pm to 5:25pm

Man with short black hair in glasses and a blue and white flannel in front of a beige background

Toward Trustworthy Machine Learning to Understand the Genetic Basis of Phenotyped Subtypes of Alzheimer’s disease

Abstract: Read more about Colloquia - Haohan Wang, Toward Trustworthy Machine Learning to Understand the Genetic Basis of Phenotyped Subtypes of Alzheimer's Disease, Virtual, 4:25 - 5:25 pm

Colloquia - Lu Cheng, 'Algorithmic Solutions for Socially Responsible AI', Virtual, 4:25 - 5:25 pm

Thursday, December 9, 2021 - 4:25pm to 5:25pm

Algorithmic Solutions for Socially Responsible AI

Abstract:
Artificial intelligence (AI) technologies have become increasingly pervasive, offering both promises and perils. In response, researchers and
organizations have been working to publish principles for the responsible use of AI. To bridge from these principles to responsible AI practice, in this talk, I will introduce
Read more about Colloquia - Lu Cheng, 'Algorithmic Solutions for Socially Responsible AI', Virtual, 4:25 - 5:25 pm

Virtual Seminar, Daniela Witten, 'Selective Inference for Trees'

Monday, November 1, 2021 - 11:00am to 12:00pm

Biography:

Daniela Witten is a coauthor of the popular text Introduction to Statistical Learning by James, Witten, Hastie, and Tibshirani.  Since earning her PhD at Stanford in 2010, Professor Witten has had many impressive accomplishments.  At the 2018 Women in Data Science Conference, Professor Witten gave a lecture watched by 100,000 via livestream. 

Abstract, via Professor Witten: Read more about Virtual Seminar, Daniela Witten, 'Selective Inference for Trees'

D4 Institute Conference on Data Science

Saturday, October 30, 2021 - 1:00pm to 4:00pm

The D4 Institute at Iowa State University will host a Data Science conference on October 30th, 2021. Join us virtually to hear a keynote speech from a Research Science Manager at Amazon, to engage in a D4 Institute panel discussion on data science graduate studies, and to participate in a poster session!

*To access the meeting link, please check your email inbox. All registered attendees were sent the Zoom link on 10/29 at 10:00am from mmott@iastate.edu*

Read more about D4 Institute Conference on Data Science>

Dr. Cynthia Rudin, 'The Extremes of Interpretability in Machine Learning: Sparse Decision Trees, Scoring Systems and Interpretable Neural Networks', TADS Lunch-n-Learn

Thursday, April 8, 2021 - 12:00pm to 1:00pm

Dr. Cynthia Rudin - Woman with long hair smiles in a hallway

Presenter: Dr. Cynthia Rudin

Title: The Extremes of Interpretability in Machine Learning: Sparse Decision Trees, Scoring Systems and Interpretable Neural Networks Read more about Dr. Cynthia Rudin, 'The Extremes of Interpretability in Machine Learning: Sparse Decision Trees, Scoring Systems and Interpretable Neural Networks', TADS Lunch-n-Learn

Envisioning Boa 2.0 Workshop

Thursday, January 14, 2021 - 9:00am to 12:30pm

Boa is a domain-specific language and infrastructure that eases mining software repositories. Boa's infrastructure leverages distributed computing techniques to execute queries against hundreds of thousands of software projects very efficiently. Boa has existed for almost 7 years with a large user base of more than 1,200 users in all over the world. Read more about Envisioning Boa 2.0 Workshop

Dr. In-Ho Cho, 'Parallel Fractional Hot Deck Imputation for Large/Big Missing Data Curing for Improving Machine Learning and Statistical Inference', TADS Lunch-n-Learn

Thursday, October 15, 2020 - 12:00pm to 1:00pm

Presenter: Dr. In-Ho Cho

In-Ho Cho

Title: Parallel Fractional Hot Deck Imputation for Large/Big Missing Data Curing for Improving Machine Learning and Statistical Inference Read more about Dr. In-Ho Cho, 'Parallel Fractional Hot Deck Imputation for Large/Big Missing Data Curing for Improving Machine Learning and Statistical Inference', TADS Lunch-n-Learn

SERL (Software Engineering Research Laboratory)

Friday, February 14, 2020 - 1:10pm to 2:00pm

Mikaela CashmanPresenter: Mikaela Cashman

Title: The Software Engineer’s Role in Predictive Biology 

Abstract: In the age of big data, predictive biology has scaled dramatically creating a community of biologists and bioinformaticians with a need for strong computational power.  This talk will introduce a large open-source system aimed to meet these goals known as the Department of Energy’s Systems Biology Knowledgebase (KBase, http://kbase.us).  KBase includes over 200 applications in the areas of genome assembly and annotation, sequence alignment, metabolic modeling, expression and more.  There is also support for external tool integration through an SDK.  KBase is designed to be open and collaborative where users can utilize public datasets, import custom data, create workflows built upon Jupyter notebooks, and share these workflows with others. Read more about SERL (Software Engineering Research Laboratory)

Dr. Sarah Ryan, 'The DataFEWSion Traineeship for Innovations at the Nexus of Food Production, Renewable Energy and Water Quality', TADS Lunch-n-Learn

Thursday, April 25, 2019 - 12:00pm to 1:00pm

Presenter: Dr. Sarah Ryan
Title: The DataFEWSion Traineeship for Innovations at the Nexus of Food Production, Renewable Energy and Water Quality. Read more about Dr. Sarah Ryan, 'The DataFEWSion Traineeship for Innovations at the Nexus of Food Production, Renewable Energy and Water Quality', TADS Lunch-n-Learn

Dr. Steve Holland, ' Big Data for Nuclear Power Plans and Creating Discoverable Data Repositories for Nondestructive Evaluation', TADS Lunch-n-Learn

Thursday, December 13, 2018 - 12:00pm to 1:00pm

Presenter: Dr. Steve Holland

Topic: Big Data for nuclear power plans and creating discoverable data repositories for nondestructive evaluation

  Read more about Dr. Steve Holland, ' Big Data for Nuclear Power Plans and Creating Discoverable Data Repositories for Nondestructive Evaluation', TADS Lunch-n-Learn