The eScience Community Seminar serves as an informal environment for presentations and discussions on research that is relevant to the eScience Institute and the Data Science Environment. Topics will span science, methods, and technology across the mission of the eScience Institute.
Students may opt to sign up for a one credit seminar (CR/NCR) listed as CHEM E 599, Topics in Data Science.
Winter 2019 Schedule
Thursdays, 4:30 p.m., Bagley Hall, room 154
Note that this quarter we will have a few talks from the distinguished Data Science Seminar. These are well attended from faculty, staff, students, and other community members across campus. Please plan to arrive on time to secure a seat.
(For most of these distinguished sessions, there will be cookies and coffee to entice you to come early.)
| Date | Title | Speaker | Notes |
|---|---|---|---|
| 1/10/19 | Visual Knowledge Discovery and Machine Learning | Boris Kovalerchuk | abstract, bio |
| 1/17/19 | Biologically inspired algorithms for restoring vision to the blind | Michael Beyeler | |
| 1/24/19 | Documenting Data Science and Documentation in Data Science: An Ethnographic Exploration
(Shared session with larger Data Science Seminar) |
Stuart Geiger | abstract, bio |
| 1/31/19 | Systems approach to cancer, infectious disease, the environment, and education
(Shared session with larger Data Science Seminar) |
Nitin Baliga | |
| 2/7/19 | Quantum and quantum-inspired methods for non-convex optimization
(Shared session with larger Data Science Seminar) |
Stephen Jordan | abstract, bio |
| 2/14/19 | What Can Electrochemistry Learn From Chess? Using Neural Networks to Create Problem-Specific Optimizers for Model Calibration | Neal Dawson-Elli | |
| 2/21/19 | TBD | Lalit Jain | |
| 2/28/19 | TBD | Dan Morris | |
| 3/7/19 | TBD | TBD | |
| 3/14/19 | TBD | TBD |
Fall 2018 Schedule
Tuesdays, 4:30 p.m., Physics Astronomy Auditorium (PAA), room A118
Note that this quarter we will have a few talks from the distinguished Data Science Seminar. These are well attended from faculty, staff, students, and other community members across campus. Please plan to arrive on time to secure a seat.
(For most of these distinguished sessions, there will be cookies and coffee to entice you to come early.)
| Date | Title | Speaker | Notes |
|---|---|---|---|
| 10/2/18 | Data visualization for analysis & discovery (Shared session with larger Data Science Seminar.) |
Zan Armstrong | abstract, bio |
| 10/9/18 | pomegranate: fast and flexible probabilistic modeling in Python | Jacob Schreiber | |
| 10/16/18 | Data science and computational fluid dynamics for engineering applications | Kazuki Maeda | |
| 10/23/18 | Which violent events count as terrorism in the news? Examining US mass shootings | Emily Gade | |
| 10/30/18 | Cancelled | NA | |
| 11/6/18 | Complex batch effects complicate cross-study analyses in microbiome research | Sean Gibbons | |
| 11/13/18 | Measuring evictions: demographic estimation and spatial dynamics of evicted households | Tim Thomas | |
| 11/20/18 | A comprehensive data repository for neutron scattering and improved molecular models | Caitlyn Wolf | |
| 11/27/18 | Data sharing agreements discussion | Anthony Arendt | |
| 12/4/18 | Measuring and predicting biodiversity loss on a changing planet (Shared session with larger Data Science Seminar.) |
Justin Kitzes | abstract, bio |
Spring 2018 Schedule
Thursdays, 4:30 p.m., Physics Astronomy Auditorium (PAA), room A110
| Date | Title | Speaker | Notes |
|---|---|---|---|
| 3/29/18 | machine and deep learning applications to voice data for Parkinson’s disease | Reza Hosseini Ghomi | |
| 4/5/18 | Life of a Data Scientist in a Metabolic Engineering Startup | Janet Matsen | |
| 4/12/18 | Computational Approaches to Privacy, Bias, Transparency in Data Science | Bernease Herman | |
| 4/19/18 | Assured information distillation in social sensing | Dong Wang | |
| 4/26/18 | Algorithmic Curation: Putting Open Science Data to Work | Bill Howe | |
| 5/3/18 | Data-based sustainable agriculture: machine learning groundwater models and irrigation development in Africa | Tess Russo | |
| 5/10/18 | When Can We Say a Rumor Has Grown Out of Proportion? A Computational Approach | Peter Krafft | |
| 5/17/18 | Cancelled | Cancelled | |
| 5/24/18 | Predicting Substitution Profiles for B Cell Receptor Sequences using Large-Scale Repertoire Data | Amrit Dhar | |
| 5/31/18 | TBD | Andrej Blejec |
Winter 2018 Schedule
Tuesdays, 4:30 p.m., Physics Astronomy Auditorium (PAA), room A118
| Date | Title | Speaker | Notes |
|---|---|---|---|
| 1/9/18 | Interpretable Statistical Learning Methods | Zachary Jones | |
| 1/16/18 | Multi-scale dynamics of natural search: what insects can teach robots about complex behavior | Floris van Breugel | |
| 1/23/18 | Learning with data | Sayamindu Dasgupta | |
| 1/30/18 | Data science for rare genetic diseases | Vikas Pejaver | |
| 2/6/18 | Can machine learning improve weather and climate models? | Noah Brenowitz | |
| 2/13/18 | Cancelled today | NA | |
| 2/20/18 | Crowd-sourcing and machine learning | Anisha Keshavan | |
| 2/27/18 | Taming nonlinear systems with linear methods | Eurika Kaiser |
Fall 2017 Schedule
Tuesdays, 4:30 p.m., Physics Astronomy Auditorium (PAA), room A110
| Date | Title | Speaker | Notes |
|---|---|---|---|
| 10/3/17 | Reproducibility and Open Science Working Group at the UW eScience Institute | Ariel Rokem | |
| 10/10/17 | Developing Machine Learning Algorithms for the in silico Characterization of Monoclonal Antibodies | Vanessa Nguyen | |
| 10/17/17 | Bee Pollination Biology: Buzzing Behavior, and Biomechanics | Callin Switzer | |
| 10/24/17 | Insecurity and the U.S. Senate | Emily Gade | |
| 10/31/17 | The Milky Way Galaxy and Hierarchical Bayes | Gwendolyn Eadie | |
| 11/7/17 | Canceled | Canceled | Moore-Sloan DSE Summit |
| 11/16/17 | Analyzing Data Privately: Challenges and Recent Approaches | Gerome Miklau | Note this is Thursday talk, 4:30 PAT C520 |
| 11/21/17 | pomegranate: fast and flexible probabilistic modeling in Python | Jacob Schreiber | |
| 11/28/17 | pulse2percept: A Python-based simulation framework for bionic vision | Michael Beyeler | |
| 12/5/17 | Tectonic hazard monitoring in the Pacific Northwest with Sentinel-1 satellite radar imagery | Scott Henderson |
Winter 2017 Schedule
Thursdays, 4:30 p.m., Architecture Hall, room 147
| Date | Title | Speaker | Notes |
|---|---|---|---|
| 1/5/17 | Cancelled | ||
| 1/12/17 | Career Fair Prep | ||
| 1/19/17 | Life at Google | Tim Hesterberg | |
| 1/26/17 | Intro to data science | Jevin West | Optional for grad students |
| 2/2/17 | TBA | Emilio Zagheni | |
| 2/9/17 | Data, responsibly: The next decade of data science | Bill Howe | Data science and society |
| 2/16/17 | Promise and perils of data science in the wild | Anissa Tanweer & Brittany Fiore-Gartland |
Data science and society |
| 2/23/17 | Designing AI systems that obey our laws and values | Oren Etzioni | Data science and society; read this paper to prepare |
| 3/2/17 | Reproducibility: Failures and futures | David Beck | Data science and society |
| 3/9/17 | Privacy and security for medical records | Bing Brunton | Data science and society |
Fall 2016 Schedule
Tuesdays, 4:30 PM – WRF Data Science Studio, Physics/Astronomy Tower (PAT), C607
| Date | Title | Speaker | Notes |
|---|---|---|---|
| 10/4/2016 | Welcome & Making a research compendium: The necessary accompaniment to any journal article | Various & Ben Marwick | |
| 10/11/2016 | Robust Formulations for Learning Problems | Sasha Aravkin | |
| 10/18/2016 | pomegranate: fast and flexible probabilistic modelling in python | Jacob Schreiber | |
| 10/25/2016 | Cancelled | Cancelled | Data Science Summit |
| 11/1/2016 | Computational Social Science: agent computing and BigData | Robert Axtell | |
| 11/8/2016 | Multi-group Covariance Estimation for High-Dimensional Data | Alex Franks | |
| 11/15/2016 | Phylogenetics for modern data sets, from the ground up | Erick Matsen | Note special room: PAA A110 |
| 11/22/2016 | Listen To The Whisper From Earth | Xiaofeng Meng | |
| 11/29/2016 | Restoring vision to the blind | Michael Beyeler | |
| 12/6/2016 | Tumor Heterogeneity Analysis via An Extensible Modeling System | Jie Liu |
Spring 2016 Schedule
Tuesdays, 4:30 PM – WRF Data Science Studio, Physics/Astronomy Tower (PAT), C607
| Date | Title | Speaker | Notes |
|---|---|---|---|
| 3/29/2016 | Untangling genomes from metagenomes | Vaughn Iverson | |
| 4/5/2016 | Software Licensing | Laura Dorsey | |
| 4/12/2016 | Beam, Dataflow, Big science, and managed clouds | Dan Halperin | Former eScience Data Scientist |
| 4/19/2016 | Partition-Aware Parallel Cloud Analytics for Streaming Real Time Predictive Business Intelligence | Jacob Schreiber | http://homes.cs.washington.edu/~jmschr/lectures/Parallel_Processing_in_Python.html |
| 4/26/2016 | Cancelled | ||
| 5/3/2016 | 5&10: brief talks and chats on things we like | eScience Post-docs | |
| 5/10/2016 | Tensorflow tutorial | Sven Dorkenwald | Bring your laptop! |
| 5/17/2016 | Reproducible Collaboration for Big Data | Samuel Payne | |
| 5/24/2016 | DesignSage-CI: A Cloud-Based Environment for Research In Natural Hazards Engineering | Clint Dawson | NOTE location change: Physics/Astronomy C520 |
| 5/26/2016 | Introducing the Concept of Uber-Customers vs. Customers in Healthcare and Life Sciences. (Leveraging lessons from Amazon, Uber and Watson.) |
Eugene Kolker | Note special day! |
| 5/31/2016 | Big Social Data Day |
The IGERT students will periodically give talks about their research in addition to the post-docs and other data science enabled researchers on campus. Several times during the quarter, the seminar will be replaced by the UW Data Science Seminar which highlights external speakers from other research institutions and industry. Finally, we will also engage in at least on discussion session per quarter focused on ethical issues around Big Data & Data Science.
The seminar is open to all, but is required for the Advanced Data Science PhD transcriptable option, the Big Data IGERT students and the Data Science Environment (eScience Institute) post-docs are expected to attend.
Previous speakers & topics:
Note: In Winter of 2016, the seminar included a five week special session on Data Science and Society which examined the societal impacts of data science through speakers and case study discussions.
| Date | Title | Speaker | Notes |
|---|---|---|---|
| 1/5/2016 | Collecting the software products of seminar participants | Discussion and teamwork | Bring your laptops! |
| 1/12/2016 | Alex Tank | ||
| 1/19/2016 | Analysis of Nanopore Data using Large Scale Hidden Markov Models | Jacob Schreiber | |
| 1/26/2016 | Myria hands on demo! | Magdalena Balazinska | Preparation instructions |
| 2/2/2016 | Systematic Effects in High-Dimensional Galaxy Datasets | Grace Telford | |
| 2/9/2016 | Getting Started with Amazon Web Services | Parmita Mehta | Bring your laptops and AWS login! |
| 2/16/2016 | Investigating the Computer Security Practices and Needs of Journalists | Franziska Roesner | Data Science and Society |
| 2/23/2016 | Data Privacy Basics | Dan Suciu | Data Science and Society |
| 3/1/2016 | Reusable holdouts and adaptive data analysis | James Lee | Data Science and Society |
| 3/8/2016 | Case study in Data Science ethics | Open discussion | Data Science and Society |
| Quarter | Title | Speaker |
|---|---|---|
| Fall ’15 | Analyzing political networks in congress | Jose Manuel Magallanes |
| Fall ’15 | Applications of Ideas From Machine Learning in Human MRI | Ariel Rokem |
| Fall ’15 | Cecilia Noecker | |
| Fall ’15 | Lab in the Wild demo | Katharina Reinecke |
| Fall ’15 | Sophie Clayton | |
| Fall ’15 | Using the Cloud for Data Science | Darwin Schweitzer |