Pan's Research Group Meetings


Read this Science piece, especially this example.

Fall 2020


WEEKLY (virtual) group meeting time: 10:30--12:30 Fridays.
Group 1: Alex, Haoran, Ruoyu, Zhaotong,
Group 2: Ben, Kaifeng, Rachel, Yuchen, Yuefei,
Group 3: Charlie, Dipnil, Mykhaylo, Simion,

Spring 2020


WEEKLY group meeting time and location: Moos 1-435, 3 - 4:30 pm on Mondays, starting on Feb 17 and ending ....
Group 1/Genetics: Alex, Haoran, Michael, ....
Group 2/DL: Ben, Ruoyu, Zhong, ....

Fall 2019


WEEKLY group meeting time and location: Moos 1-460, 2:30 - 4:30 pm on Fridays, starting on Sept 6 and ending Dec 6.
Group 1: Mengli, Zhong, Jiuzhou, Jack, (Hu).
Group 2: Alex, Haoran, Michael, Tianzhong, Yangqing.


Spring 2019


WEEKLY group meeting time: 10:30--11:45 Fridays (to May 3).
Location: Mayo A110 with TWO exceptions: 1. April 5 - meeting location Mayo D330; 2. April 19 - meeting location Mayo D199.
Group 1: Hu, Mengli, Tianzhong, Yangqing and Zhong.
Group 1: Alex, Haoran, Jack, Michael and Rachel.

Fall 2018


Individual meetings: in my office, every other Fridays when no group meetings, or by appointment.

Group meeting time: 9:30--11:30 every other Fridays:
  1. 9/21 - Mayo A110
  2. 10/5 - Mayo D199
  3. 10/19 - Mayo D325
  4. 11/2 - Mayo D199
  5. 11/16 - Mayo D199
  6. 11/30 - Mayo D199


Spring 2018


Individual meetings: in my office, every other Fridays when no group meetings, Chong 9-9:30; Jack 9:30-10, Yangqing 10-10:30, Mengli 10:30-11, Haoran 1-1:30, Yan 1:30-2.

Group meeting time: 10--12 every other Fridays in Mayo D199 unless specified otherwise.
  1. 5/4:
  2. 4/20:
  3. 4/6:
  4. 4/6:
  5. 3/23:
  6. 3/9:
  7. 2/23:
  8. 2/9:
  9. 1/26: Location change: Mayo A110.


Spring 2017


Time: 1:30--5pm every Mondays (unless specified otherwise); Location: Mayo A434. Format: A presentation given by everyone in every meeting!

Fall 2016


Time: 10--12 every other Fridays unless specified otherwise; Location: Mayo A434
  1. 12/2: Time change: 11-12. Jun; Zhenxun
  2. 11/18: Time change: 11-12. Zhiyuan; Jack; Yangqing
  3. 11/4: postponed
  4. 10/21: WP, Yangqing
  5. 10/7: Zhiyuan; Chen; Jack
    Importance sampling
  6. 9/23: Chong; Yangqing
  7. 9/9: organizational meeting; Zhiyuan

    Note: The BD2K Guide to the Fundamentals of Data Science Series, Every Friday beginning September 9, 2016, 12pm - 1pm Eastern Time / 9am - 10am Pacific Time. Go here
    2016 LECTURE SCHEDULE
    * 09/09/16 - INTRODUCTION to Big Data and the Data Lifecycle (Mark Musen, Stanford)
    * 09/16/16 - SECTION 1: DATA MANAGEMENT OVERVIEW (Bill Hersh, Oregon Health Sciences)
    * 09/23/16 - Finding and Accessing Datasets, Indexing, and Identifiers (Lucila Ohno-Machado, UCSD)
    * 09/30/16 - Data Curation and Version Control (Pascale Gaudet, Swiss Institute of Bioinformatics)
    * 10/07/16 - Ontologies (Michel Dumontier, Stanford)
    * 10/14/16 - Metadata Standards (Zachary Ives, Penn)
    * 10/21/16 - Provenance (Suzanne Sansone, Oxford)
    * 10/28/16 - SECTION 2: DATA REPRESENTATION OVERVIEW (Anita Bandrowski, UCSD)
    * 11/04/16 - Databases and Data Warehouses, Data: Structures, Types, Integrations (Chaitan Baru, NSF)
    * 11/11/16 - NO LECTURE: VETERAN’S DAY
    * 11/18/16 - Social Networking Data (TBD)
    * 12/02/16 - Data Wrangling, Normalization, Preprocessing (Joseph Picone, Temple)
    * 12/09/16 - Exploratory Data Analysis (Brian Caffo, Johns Hopkins)
    * 12/16/16 - Natural Language Processing (Noemie Elhadad, Columbia)

    2017 TENTATIVE LECTURE SCHEDULE
    * 01/06/17 - SECTION 3: COMPUTING OVERVIEW
    * 01/13/17 - Workflows/Pipelines
    * 01/20/17 - Programming and Software Engineering, API, Optimization
    * 01/27/17 - Cloud, Parallel, Distributed Computing, and HPC
    * 02/03/17 - Commons: Lessons Learned, Current State
    * 02/10/17 - SECTION 4: DATA MODELING AND INFERENCE OVERVIEW
    * 02/17/17 - Smoothing, Unsupervised Learning/Clustering/Density Estimation
    * 02/24/17 - Supervised Learning/Prediction/ML, Dimensionality Reduction
    * 03/03/17 - Algorithms, Optimization
    * 03/10/17 - Multiple Testing, False Discovery Rate
    * 03/17/17 - Data Issues: Bias, Confounding, and Missing Data
    * 03/24/17 - Causal Inference
    * 03/31/17 - Data Visualization Tools and Communication
    * 04/07/17 - Modeling Synthesis