UW Madison Researchers Will Use Machine Learning to Study Ovarian Cancer Detection
Ovarian cancer deaths in the U.S. are rising annually, in part because early detection is difficult. Ovarian cancer symptoms like bloating and back pain are found in many other medical conditions. Irene Ong and Manish Patankar, both faculty in the School of Medicine and Public Health, received a grant from the Centers for Disease Control and Prevention to develop novel tools for early ovarian cancer detection. They will use machine learning models to investigate whether data from electronic health records can be used to identify early predictors of this cancer. Ong is a Data Science Institute Affiliate. Read the full story here.
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ADSA Annual Meeting Proposals
Due April 15, The Academic Data Science Alliance (ADSA) is accepting proposals for presentations, discussions, demos, and art at its Annual Meeting, October 24-26 at the University of Texas at San Antonio. The ADSA Annual Meeting brings together data science methodologists and domain researchers from all disciplines to share approaches in data science research and education, with a strong emphasis on responsible data science. For more information and to apply, visit the ADSA website.
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Apply for Carpentries Instructor Training
April 24-27, Interested in becoming a certified Carpentries instructor? Apply for Carpentries Instructor training at UW-Madison, April 24-27. This is a great opportunity to improve technical or teaching skills and help others! Applications will be reviewed on a rolling basis. While applications from individuals with a history of involvement in the UW-Madison Carpentries community will be prioritized, all interested people are encouraged to apply. Details and the application form are available here.
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Midwest Machine Learning Symposium
May 16-17, The Midwest ML Symposium aims to convene regional machine learning researchers for stimulating discussions and debates, to foster cross-institutional collaboration, and to showcase the collective talent of ML researchers at all career stages. U. Illinois @ Chicago will be hosting the Midwest Machine Learning Symposium this year. Some of you may recall MMLS 2019, which was held right here in Madison. MMLS took a break during the pandemic, and it’s great to get to reboot it this year! MMLS is a great chance for faculty and students from around the midwest to meet up and exchange their research on machine learning. For more information and to register, visit the MMLS website.
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Intro to R
May 15, 9:00 a.m. to 12:00 p.m., The Social Science Computing Cooperative will be hosting a workshop on the the basics of R in RStudio. Participants will learn an overview of the user interface, running scripts and evaluating expressions, data objects and functions, saving your work, and using help/learning more. For more information and to register, visit the Intro to R workshop webpage.
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Health Sciences Data Carpentry
May 15-18, 9:00 a.m. to 12:30 p.m., The Data Science Hub will be hosting a workshop during the month of May. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. For more information and to register, visit the Health Sciences Data Carpentry workshop page.
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Have questions about anything data science-related? Come see the Data Science Hub facilitators at Coding Meetup on Tuesdays and Thursdays from 2:30-4:30 p.m. CT. To join Coding Meetup, join data-science-hubgroup.slack.com.
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WAISI Interpretability Upskilling Event
Due April 6, One of the most promising ways to mitigate risks from increasingly capable Artificial Intelligence is to understand the mechanics behind why the AI is producing the outputs that it produces. That is, what exact information each neuron, neuron layer, circuit, etc. is processing and how this contributes to the overall output. Using the knowledge derived from these interpretability methods, researchers can create more robust oversight over the neural networks which historically have been blackboxes.
- April 9, 2:00 p.m. to 6:00 p.m., participants will learn about Convolutional Neural Networks (CNNs) and Transformers with a curriculum taught by UW-Madison CS Graduate Student, Satya Sai Srinath Namburi
- April 16, 2:00 p.m. to 6:00 p.m., participants will learn about performing interpretability on these structures with a curriculum taught by Head of EffiSciences AI Division, Charbel-Raphaël Segerie
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Optimization Seminar
April 6, 11:00 a.m. to 12:00 p.m., This week's Optimization Series will feature Ward Romeijnders, who will be giving a talk on Scaled cuts for stochastic mixed-integer programs. The seminar will be taking place in-person in Room 2180, Mechanical Engineering Building. For those interested in meeting with Ward during his visit, sign up on the Google Sheet.
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Genomic Seminar Series
April 6, 1:30 p.m., This week's Genomic Seminar Series will feature Julia Zeitlinger, who will be giving a talk on deciphering cis-regulatory code for development using interpretable deep learning. This seminar will be a hybrid in person/zoom seminar. For those who wish to attend in-person, the seminar will be taking place in Room 1111, 425 Henry Mall, Biotechnology Center Auditorium. For those who wish to attend online, visit the zoom link during the seminar.
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Call for Proposals: US-RSE Conference 2023
Due April 11, Research Software Engineers (RSEs) includes researchers who spend a significant amount of time programming, full-time software engineers writing code to solve research problems, and those somewhere in-between. The theme of this year’s conference will be "Software Enabled Discovery and Beyond." As such, topics of interest include (but are not limited to): Discovery enabled by software, Architectures, frameworks, libraries, and technology trends, Research data management, and more. Submissions for workshops, tutorials, posters, and more are encouraged. For more information and to send in a submission, visit the US-RSE Conference webpage.
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OSG User School 2023 Applications
Due April 17, During the School, August 7–11, participants will learn to use high-throughput computing (HTC) systems to run large-scale computing applications that are at the heart of today’s cutting-edge science.Through lectures, discussions, and lots of hands-on activities with experienced OSG staff, participants will learn how HTC systems work, how to run and manage lots of jobs and huge datasets to implement a scientific computing workflow, and where to get more information and help. For more information and to apply, visit the OSG User School webpage.
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SILO Seminar Series
Wednesdays, 12:30 p.m., SILO is about breaking down the systems, information, leaning, and optimization of research created by academic department boundaries. Recent advances in information science are allowing scientists and researchers to sense, process and share data in ways and scales previously impossible. These developments have the potential to benefit work happening in a wide range of disciplines. SILO’s purpose is to help realize such potential by providing the time and space for researchers to present and interact to find common threads. Visit the SILO webpage for information about their upcoming talks.
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ML+X Forum: Representations for Learning
April 11, 12:00 p.m. to 1:00 p.m., How can researchers exploit the structure of their data to train more accurate and reliable deep learning models? Similarly, how does the performance and design of different artificial neural network models relate to a model’s learned feature representations? Do some models come closer to mirroring human visual representations than others, and can this observed relationship be exploited to develop better performing models?
These questions and more will be explored at the ML+X forum! Presenters include Daniel McNeela (Biomedical Data Science MS and incoming CS PhD student) and Kushin Mukherjee (Psychology PhD student). The ML+X forum will be hosted in the Orchard View room on the 3rd floor of Discovery Building — room 3280.
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ML+Coffee
April 12, 9:00 a.m. to 11:00 a.m., Hosted by the Machine Learning (ML) Community, the monthly ML+Coffee social brings together ML practitioners across campus to connect with one another, discuss and work on ML projects, and enjoy some light (caffeinated) refreshments ☕. Attendees are encouraged to bring their laptops and/or any questions about ML. The social will take place in the Hub Central lobby in the Discovery Building. Those who wish to attend should fill out the ML+Coffee registration form.
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MadPy: Serving ML Models at Scale with FastAPI
April 13, 2023, 6:30 p.m. to 8:00 p.m., MadPy is a community group of python enthusiasts. They are open to all experience levels and committed to a safe, professional environment. In this talk, Adam Frees will show how the popular Python web framework FastAPI can be used to make cutting-edge NLP models available to end-users in a fast and standards-based way. While the use-case in this talk revolves around machine learning, the benefits of FastAPI extend into many other fields; no prior knowledge of ML required! For more information and to register, visit the meetup event page.
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Student Program Assistant
Due April 7, The Data Science Hub in the Wisconsin Institute for Discovery collaborates closely with the Data Science Institute to provide data science training and implement data science into research practices across campus. The Data Science Hub executes a mission for community engagement and learning opportunities for campus researchers through a variety of services. The Student Program Assistant will report directly to the Data Science Hub facilitators. Their main duties will include creating monthly workshop websites, updating and maintaining the Data Science Hub newsletter, and other administrative tasks. For more information and to apply, visit the Student Program Assistant position description.
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PostDoc Fellow in Computational Biology
The Li and Riggi Labs at the Cellular and Tissue Genomics Department (CTG) within Genentech are looking for an exceptional Postdoctoral Fellow to lead the computational efforts for interrogating the role of oncogenic transcription factors (TFs) in cancer. This position will work closely with the postdoc fellow leading the experimental efforts to identify new therapeutic strategies targeting the function of selected TFs. The successful applicant will have the opportunities to analyze and interpret single-cell multiomics, spatial transcriptomics and high content imaging data generated from the experimental partner. There might also be opportunities to develop novel algorithms and analytic strategies during the data interpreting process. This position will be co-mentored by Drs. Li and Riggi. For more information and to appy, visit the position description.
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PostDoc Fellow at Wenyi Wang's Lab
Two full-time postdoctoral fellow positions are available in Professor Wenyi Wang’s lab in the
Department of Bioinformatics and Computational Biology at The University of Texas MD
Anderson Cancer Center in Houston, Texas.
Dr. Wang’s laboratory research aims to gain new knowledge in the evolution of the human
genome and the cancer genome. These two topics are fundamental to the understanding of the
initiation, progression, and treatment of human diseases. This position will perform
methodological research under her long-standing program in semi-parametric survival modeling
for cancer risk prediction.
For more information and to apply for the position in Biostatistics, visit the position description. For more information and to apply for the position in Computational Cancer Genomics, visit the position description.
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PROFESSIONAL
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Data Management Consultant
Johns Hopkins Sheridan Libraries seeks a Data Management Consultant to join our high-performing team of data management, data visualization, and geospatial data/GIS specialists in the Data Services Department. The data management specialists provide faculty, students, and staff with consultative support and training on data management and sharing. They prepare and lead workshops, give presentations, and provide one-on-one consultation to faculty, staff, and students. Data management specialists are also responsible for curating and depositing data into the Johns Hopkins Research Data Repository. For more information and to apply, visit the Data Management Consultant job posting.
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DATA VISUALIZATION OF THE WEEK
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The Academic Data Science Alliance (ADSA) is a network of academic data science practitioners, educators, and leaders, and academic-adjacent colleagues, who thoughtfully integrate data science best practices in higher education. UW-Madison is a founding member of ADSA.
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Data Science Updates is a collaborative effort of the Data Science Institute and Data Science Hub.
Use our submission form to send us your news, events, opportunities and data visualizations for future issues.
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