A bi-monthly newsletter with updates on data and computing news and events for UW-Madison researchers.
In the July 24, 2019 update:
- Computing in Engineering Forum
- Upcoming Campus Events
- Upcoming Training and Workshops
- Campus Opportunities and Groups
- External Opportunities
- unsure which campus data and computing resources you need for your research?
- interested in making connections and starting new collaborations with data scientists and other researchers on campus?
- looking for training in data and computing skills?
The Data Science Hub can help! Send an email to the Data Science facilitator (firstname.lastname@example.org) or come by Hub Central in the Discovery Building during office hours (Th 3:00-5:00 PM). Sarah will also be at Open Coding Lab in Steenbock Library (T 2:30-4:30 PM). Check calendar for latest details and updates.
Join the Computing in Engineering Forum on September 10-11 in the Discovery Building to hear the latest from UW-Madison experts in operations research, simulation-based engineering, and more! The Computing in Engineering Forum @ UW-Madison brings together on-and off-campus parties to exchange ideas and learn from each other through showcasing emerging technologies, networking, and providing opportunities for cross-pollination. Through a student poster-session and a focused career fair, connections are facilitated between employers and students interested in computing in engineering. The meeting is yet one more way in which to demonstrate the Wisconsin Idea that education should influence people’s lives beyond the boundaries of the classroom. Registration will open in summer 2019. Please check back for updates.
Upcoming Campus Events (Calendar View)
Systems, Information, Learning, and Optimization (SILO) Seminar, 4:00pm-5:00pm, Orchard View Room, Discovery Building
July 25, Resource allocation for SGD via adaptive batch sizes, Scott Sievert
Aug 1, TBA, David Gilton
Aug 8, TBA, Brandon Legried
Upcoming Training and Workshops
Genomics Data Carpentry, 8:30am – 4:30pm, August 5-6, 2019
This hands-on workshop teaches basic concepts, skills and tools for working more effectively with genomics data. The workshop is for any researcher who has data they want to analyze, and no prior computational experience is required. Event hosted by the Data Science Hub. Registration opens July 10 at 5:00 pm.
Next Gen. Data Analysis Workshops
NEW This summer a new series based on R / RStudio / bioconductor will be also offered with more limited seating. Registration is required for all workshops. There is a fee associated with each workshop.
|R / RStudio / bioconductor workshops:
RNA-Seq Analysis with R, July 26
ChIP-Seq Analysis with R, July 30
Software Training for Students, Room B1144A, DeLuca Biochemistry Building, 420 Henry Mall (Registration required).
Excel 1, Wednesday, July 24, 5:00-7:00
Excel 2: Data Visualization, Thursday, July 25, 5:00-7:00
iMovie, Monday, July 29, 5:00-7:00
HTML, Tuesday, July 30, 5:00-7:00
Illustrator 1, Wednesday, 5:00-7:00
Python, Thursday, August 1, 5:00-7:00
Word Press 1, August 5, 5:00-7:00
CSS 1, August 6, 5:00-7:00
Premiere Pro, August 7, 5:00-7:00
Campus Opportunities and Groups
Machine Learning for Medical Imaging (ML4MI) Bootcamp
We are pleased to announce that we will be hosting a Machine Learning for Medical Imaging (ML4MI) bootcamp, as part of the broader ML4MI initiative. This is a repeat of the bootcamp held last summer and has the goal of giving participants a rapid, hands-on introduction into the principles and application of machine learning for medical imaging. This bootcamp is supported by the Grainger Institute of Engineering and the Departments of Radiology and Medical Physics. The bootcamp will be held August 22-23, 9am-1pm in WIMR 1022. Registration is required. Please feel free to contact the organizers (Kevin Johnson, Alan McMillan, and Tyler Bradshaw) with questions.
Algorithmic Trading – Subgroup Leaders
This ongoing project group is looking for members with management capabilities to become subgroup leaders for the following tasks:
- Feature mining – Lead a team of students in web scraping/crawling various features related to market trends
- Database management – Lead a small team of students in building a database of time-series features that can easily be queued for training models on unique feature sets
- Sentiment analysis / text-analysis – Lead a small team of students in analyzing text-based data for market insights
- Data science – Help optimize feature sets via assessing which features provide the most insight into market trends
- Reinforcement learning – Lead a small team of students in building various RL agents (Tensorflow)
If you have experience with these topics and want to learn more about algorithmic trading, email email@example.com ASAP to setup a brief meeting.
Animal AI Contest – $30,000 prize!
This project group is looking for two skilled and highly motivated members with previous experience deploying (deep) reinforcement learning models. Background/theoretical knowledge of decision making models in general is also a plus. Interest in improving AI based on findings in AI/psych/neurobio a super plus. Contact firstname.lastname@example.org ASAP if you are interested in joining the team.
BME Design Projects Wanted
UW-Madison Biomedical Engineering (BME) student teams are available to work on solving medical problems by creating prototypes to meet your personal, medical practice, or research needs through the unique BME Design curriculum. Interested? Submit applications by August 14.
Operational Data Specialist
Through consulting, education and data analysis, the Institute for Business & Entrepreneurship (IBE) serves Wisconsin’s aspiring, new and established small businesses to improve performance and increase capabilities for success. IBE’s programs, consultants and tools help entrepreneurs, businesses and economic development professionals across the state achieve their goals by offering technical assistance, training and data. IBE program units include Small Business Development Center, Center for Technology Commercialization, Food Finance Institute, Center for Business Intelligence and Business Dynamics Research Consortium. IBE follows a collaborative model, working across the UW System and through partnerships with governmental entities, educational institutions, nonprofit organizations and the business community. To ensure consideration, please apply by August 2nd.
Machine Learning for Medical Imaging: Pilot Research Grants for Collaborative Projects
The purpose of this program is to foster interdisciplinary collaboration between machine learning (ML) experts and medical imaging clinicians and researchers at the University of Wisconsin, in order to develop and apply state-of-the-art ML solutions to challenging problems in medical imaging. This includes developing new ML methods for medical imaging applications, and exploring new imaging applications of state-of-the-art ML methods. Potential applicants are encouraged to contact Diego Hernando or Varun Jog for additional details. Pilot awards are $50,000 maximum in direct costs for 12 months of support. Mandatory Letter of Intent Receipt Date: August 23, 2019.
Big Data Neuroscience Workshop
This workshop will continue work on the development of common practices and standardization to make it easier for neuroscience researchers to annotate and process data; to share data, tools and protocols, and to work with distributed high-performance computing environments. The workshop will bring together members of the Midwest, national, and the global neuroscience research community to promote data reuse, aggregation, result validation and new discoveries in neuroscience. Program and registration details can be found here.
Microsoft Investigator Fellowship
This year Microsoft is expanding its funding support for academic research by creating the new Microsoft Investigator Fellowship. Submissions are now being accepted, and full-time faculty members must submit their proposals by August 16, 2019. The new Microsoft Investigator Fellowship is a two-year fellowship for full-time faculty at degree-granting colleges in the United States who are currently conducting research, advising graduate students, teaching in a classroom, and use or plan to use Microsoft Azure in research and/or teaching. The award is a $100,000 annual stipend awarded annually for two years starting in Fall of 2019. For questions, please contact Microsoft Investigator Fellowship Program InvestigatorFellow@microsoft.com.
Deep Learning: Mathematical Foundations and Applications to Information Science
The IEEE Journal on Selected Areas in Information Theory (JSAIT) seeks high quality technical papers on all aspects of Information Theory and its applications. JSAIT is a multi-disciplinary journal of special issues focusing on the intersections of information theory with fields such as machine learning, statistics, genomics, neuroscience, theoretical computer science, and physics. This special issue will focus on the mathematical foundations of deep learning as well as applications across information science. Prospective authors are invited to submit original manuscripts on topics within this broad scope including, but not limited to: Information theoretic methods for deep learning, robustness for training and inference, understanding generalization in over-parametrized models, efficient and compressed model representations, deep generative models and inverse problems, large-scale efficient training of large models, non-convex optimization in deep learning, and deep learning for source and channel coding. For details and templates, please refer to the IEEE Journal on Selected Areas in Information Theory Author Information webpage. All papers should be submitted through Scholar One by October 1, 2019.
Biopharmaceutical Applied Statistics Symposium
The Biopharmaceutical Applied Statistics Symposium (BASS) provides a forum for pharmaceutical and medical researchers and regulators to share timely information concerning the application of biostatistics in pharmaceutical environments. BASS XXVI will be held at the Hilton Charlotte University Place in Charlotte, North Carolina on Oct. 21-24, 2019. Dr. Karl E. Peace, BASS Founder, and the BASS Program Committee announce the continuation of a program of Travel Stipends to support doctoral students in biostatistics in attending BASS XXVI. BASS will reimburse up to 5 students for their travel expenses up to $1250. These expenses to include travel, hotel (BASS rate at the Hilton Charlotte University Place), food and BASS registration fees at BASS cost. Applications should be sent to Tony Segreti. Adviser recommendations should be sent to the same email address. The application deadline is August 30, 2019.
Midwest Big Data Hub Digital Agriculture Spoke: All-Hands Meeting
The third annual Midwest Big Data Hub Digital Agriculture All-Hands Meeting will serve as the culmination for the National Science Foundation project dedicated to bringing academics and commercial operators together around the topic of big data for agriculture. The Digital Agriculture Spoke of the Midwest Big Data Hub seeks to organize academic, industrial, and governmental sectors around the development of policies and best practices for data science and Big Data applications in agriculture, with a particular focus on automating the Big Data lifecycle for unmanned aircraft systems (UAS) and for plant sciences, phenomics, and genomics.
Data Science Forum 2019
September 17 – 18, Cornell University, Ithaca, NY
The Data Science Forum is an opportunity for institutions of higher education to share ideas, perspectives, and solutions designed to extract value from our institutional data. Broad topics will include: data and infrastructure strategy; hiring the “right” expertise; big data, machine learning, and statistical modeling; privacy and legal concerns; and pitfalls and success stories. They would like to have as many institutions as possible participate in these discussions. To that end, they ask that you send at most two representatives from your institution. If in addition to your two representatives you have a speaker well suited to one of the topics listed on the registration form, please contact Cecilia Earls for special consideration.
Data Driven Wisconsin 2019
We are pleased to announce the fourth annual Data-Driven Wisconsin conference (formerly Big Data Wisconsin conference), to be held in Milwaukee on Wednesday, July 31. Jordan Ellenberg, NY Times best-selling author of How Not to Be Wrong: The Power of Mathematical Thinking will be giving our opening keynote and Cathy O’Neil, NY Times best-selling author of Weapons of Math Destruction: How Big Data Increase Inequality and Threatens Democracy will be giving the afternoon keynote.
Check calendar for latest details and updates for all listed events. If you have a relevant event or group you’d like to see included in next month’s newsletter. Please send us an email at email@example.com.
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