Yao Xiao, Ph.D.

Senior Data Science Analyst

Mayo Clinic

Yao Xiao recently joined Mayo Clinic as a Senior Data Science Analyst in the Departemtn of Artificial Intelligence and Informatics. Yao completed her postdoctoral training at the University of Texas MD Anderson Cancer Center Department of Radiation Physics with Dr. Laurence Court. Yao obtained her Ph.D. degree at the University of Florida J. Crayton Pruitt Family Department of Biomedical Engineering. Dr. Ruogu Fang is her Ph.D. advisor.

Yao's research interests are interdisciplinary research related to biomedical image computing, data science, and computational health informatics. Her goal is to develop reliable, feasible, and affordable solutions to improve healthcare by using advanced techniques, such as Artificial Ingellegence, Machine Learning, Deep Learning, and Computer Vision techniques. Her current topics at Mayo Clinic include clinical notes phenotype analysis.

Previous research topics including: 1) developing automated radiotherapy treatment planning tools for whole-brain and rib cancer patients, 2) Image Restoration, Reconstruction, & Image Quality Enhancement, 3) Machine Learning & Deep Learning, 4) CT Radiation Exposure Optimization, 5) Medical & Health Data Analysis, 6) Multimodal Diagnostic Imaging (CT, MRI, PET)

Twitter: @YaoXiao_YX

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BMES_2022_Meet the Faculty Candidate

EDUCATION

- Postdoctoral Fellow, Advisor: Dr. Laurence Court, Department of Radiation Physics, the University of Texas MD Anderson Cancer Center, Fall 2020 - Summer 2022.
- Ph.D. Biomedical Engineering, Advisor: Dr. Ruogu Fang, Smart Medical Information Learning and Evaluation (SMILE) Lab. Dissertation Committee: Dr. Wesley Bolch, Dr. Manuel Arreola, and Dr. Izabella Barreto. The J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida (UF), Fall 2017 - Summer 2020. Graduate with Honors: the 2020 Herbert Wertheim College of Engineering Graduation Ceremony Student Speaker.
- M.S. Computer Science, Advisor: Dr. Ruogu Fang, School of Computing and Information Sciences, Florida International University (FIU), Spring 2015 - Fall 2016.

PROFESSIONAL EXPERIENCES

- Senior Data Science Analyst, Mayo Clinic, 2022/9 - Present.
- Postdoctoral Fellow, University of Texas MD Anderson Cancer Center (MD Anderson), 2020/9 - 2022/8.
- Research Assistant, University of Florida (UF), 2017/8 - 2020/8.
- Teaching Assistant, Florida International University (FIU), 2017/1 - 2017/8.
- Research Assistant, Florida International University (FIU), 2016/1 - 2017/8.

JOURNAL & BOOK CHAPTER PUBLICATIONS

1. [JACMP'22a] Yao Xiao*, Carlos Cardenas, Dong Joo Rhee, Tucker Netherton, Lifei Zhang, Callistus Nguyen, Raphael Douglas, Raymond Mumme, Stephen Skett, Tina Patel, Chris Trauernicht, Caroline Chung, Hannah Simonds, Ajay Aggarwal, Laurence Court: Customizable Landmark-Based Field Aperture Design for Automated Whole-Brain Radiotherapy Treatment Planning. Journal of Applied Clinical Medical Physics (JACMP), p.e13839. https://doi.org/10.1002/acm2. 13839.
2. [JACMP'22b] Kai Huang, Soleil Hernandez, Chenyang Wang, Callistus Nguyen, Tina Marie Briere, Carlos Cardenas, Laurence Court, and Yao Xiao*: Automated field-in-field whole-brain radiotherapy treatment planning. Journal of Applied Clinical Medical Physics (JACMP), p.e13819. https://doi.org/10.1002/acm2. 13819.
3. [bioRxiv'21] Soleil Hernandez, Raymond Mumme, Laurence Court, Daniel El Basha, Skylar Gay, Barbara Marquez, Yao Xiao, Kai Huang, Hana Baroudi, Wenhua Cao, Carlos Cardenas, Raphael Douglas, Jack Duryea, Zaphanlene Kaffey, Deborah Mann, Kelly Nealon, Tucker Netherton, Callistus Nguyen, Kyuhak Oh, Adenike Olanrewaju, Carlos Sjogreen, Dong Joo Rhee, Jinzhong Yang, Cenji Yu, Lifei Joy Zhang, Yao Zhao, Hamid Ziyaee, Mary Gronberg: Improving Lab Culture Through Self-Assessment: A Case Study, bioRxiv 2021 https://doi.org/10.1101/2021.12.08.471870.
4. [JACMP'21] Eun Young Han, Carlos Cardenas, Callistus Nguyen, Donald Hancock, Yao Xiao, Raymond Mumme, Laurence Court, Dong Joo Rhee, Tucker Netherton, Jing Li, Debra Nana Yeboa, Chenyang Wang, Tina Briere, Peter Balter, Mary Martel, and Zhifei Wen: Clinical Implementation of Automated Treatment Planning for Whole Brain Radiotherapy, Journal of Applied Clinical Medical Physics (JACMP), https://doi.org/10.1002/acm2.13350.
5. [Frontiers in Neurology'19] Yao Xiao*, Peng Liu, Yun Liang, Skylar Stolte, Pina Sanelli, Ajay Gupta, Jana Ivanidze, and Ruogu Fang, "STIR-Net: Spatial-Temporal Image Restoration Net for CT Perfusion Radiation Reduction." Frontiers in Neurology 10 (2019): 355. doi: 10.3389/fneur.2019.00647.
6. [MIA'19] Liu, Peng, Mohammad D. El Basha, Yangjunyi Li, Yao Xiao, Pina C. Sanelli, and Ruogu Fang. "Deep Evolutionary Networks with Expedited Genetic Algorithm for Medical Image Denoising." Medical Image Analysis 54 (2019): 306-315. doi: 10.1016/j.media.2019.03.004.
7. [Book Chapter] Yao Xiao*, Skylar Stolte, Peng Liu, Yun Liang, Pina Sanelli, Ajay Gupta, Jana Ivanidze, and Ruogu Fang, ”Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration.” Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, (2019) 261-275.
8. [Book Chapter] Ruogu Fang, Yao Xiao, Jianqiao Tian, Samira Pouyanfar, Yimin Yang, Shu-Ching Chen, and S. S. Iyengar: Big Data in Multimodal Medical Imaging, CRC Publisher, 2019.

CONFERENCE & WORKSHOP PUBLICATIONS

1. [BMES'21] Yao Xiao, Dong Joo Rhee, Tucker Netherton, Lifei Zhang, Ajay Aggarwal, Christoph Trauernicht, Hannah Simonds, Laurence Edward Court, and Carlos Cardenas: Deep Learning-based Auto-contouring and Customizable Landmark-based Field Aperture Generation, in Biomedical Engineering Society Annual Meeting (BMES), Orlando, FL, Oct. 2021. (Invited Talk)
2. [AAPM'21a] Yao Xiao, Dong Joo Rhee, Tucker Netherton, Lifei Zhang, Ajay Aggarwal, Christoph Trauernicht, Hannah Simonds, Laurence Edward Court, and Carlos Cardenas: Landmark-Based Field Aperture Generation for Automatic Whole-Brain Radiation Planning, in the 2021 American Association of Physicists in Medicine (AAPM) Annual Meeting, virtual, Jul. 2021. (Oral Presentation)
3. [AAPM'21b] Soleil Hernandez, Raymond Mumme, Adenike Olanrewaju, Barbara Marquez, Callistus Nguyen, Carlos Sjogreen, Carlos Cardenas, Cenji Yu, Mohammad El Basha, Deborah Mann, Dong Joo Rhee, Hamid Ziyaee, Jinzhong Yang, Kai Huang, Kelly Nealon, Kyuhak Oh, Luiza Gomes, Raphael Douglas, Skylar Gay, Tucker Netherton, Wenhua Cao, Yao Xiao, Yao Zhao, and Laurence Edward Court, and Mary Gronberg: Enriching a Fully Remote Medical Physics Lab Culture: A Self-Assessment, in the 2021 American Association of Physicists in Medicine (AAPM) Annual Meeting, virtual, Jul. 2021.
4. [SIIM'20] Yao Xiao, Manuel M. Arreola, Izabella Barreto, Wesley E. Bolch, W. Christopher Fox, Keith Peters, Dhanashree A. Rajderkar, John H. Rees, and Ruogu Fang, ”Multi-Series CT Image Super-Resolution by using Transfer Generative Adversarial Network.” 2020 Society for Imaging Informatics in Medicine (SIIM) Annual Meeting, Austin, TX, USA, Jun. 2020. (Oral Presentation)
5. [ISBI'20] Yao Xiao, Keith R. Peters, W. Christopher Fox, John H. Rees, Dhanashree Rajderkar, Manuel M. Arreola, Izabella Barreto, Wesley E. Bolch, and Ruogu Fang, "Transfer-GAN: Multimodal CT Image Super-Resolution via Transfer Generative Adversarial Networks." 2020 IEEE International Symposium on Biomedical Imaging (ISBI), Iowa City, Iowa, USA, Apr. 2020. (Oral Presentation, ISBI Student Travel Award, UF GSC Student Travel Award)
6. [SPIE Medical Imaging'20] Yao Xiao and Ruogu Fang, "Transfer Generative Adversarial Network for Multimodal CT Image Super-Resolution." SPIE Medical Imaging, Houston, Texas, USA, Feb. 2020. (Oral Presentation)
7. [RSNA’19a] Yao Xiao, and Ruogu Fang, "Multimodal CT Image Super-Resolution via Transfer Generative Adversarial Network." Radiological Society of North America (RSNA) Annual Meeting. Chicago, Illinois, USA, Dec. 2019. (Oral Presentation)
8. [BMES’19b] Yao Xiao, and Ruogu Fang, "Multimodal CT Image Super-Resolution via Transfer-GAN." Biomedical Engineering Society (BMES) Annual Meeting. Philadelphia, Pennsylvania, USA, Oct. 2019. (UF BME Student Travel Award)
9. [BMES'18a] Yao Xiao, Peng Liu, Ruogu Fang: "Low-Dose CT Perfusion Image Restoration and Radiation Reduction", Biomedical Engineering Society Annual Meeting (BMES), Atlanta, Georgia, USA, Oct. 2018. (Oral Presentation, UF BME Student Travel Award)
10. [BMES'18b] Yao Xiao, Yun Liang, Yunmei Chen, Xiaojing Ye, and Ruogu Fang: "Efficient Multi-Modality Medical Image Joint Reconstruction via Vectorized Gradient", Biomedical Engineering Society Annual Meeting (BMES), Atlanta, Georgia, USA, Oct. 2018. (UF BME Student Travel Award)
11. [BMES'18c] Skylar Stolte, Yao Xiao, Ruogu Fang: "Multi-Modality Brain Image Co-Registration", Biomedical Engineering Society Annual Meeting (BMES), Atlanta, Georgia, USA, Oct. 2018. (UF BME Student Travel Award)
12. [TAPIA'18] Yao Xiao, Peng Liu, Yun Liang, Ruogu Fang: "STDN: Spatial-Temporal Denoising Net for Radiation Optimization in CT Perfusion", ACM Richard Tapia Celebration of Diversity in Computing (Tapia), Orlando, FL, USA, Sep. 2018. (TAPIA Student Travel Award)
13. [CLOUD’18] Hailu Xu, Liting Hu, Pinchao Liu, Yao Xiao, Wentao Wang, Jai Dayal, Qingyang Wang, and Yuzhe Tang, "Oases: An Online Scalable Spam Detection System for Social Networks", Proceedings of the 2018 IEEE 11th International Conference on Cloud Computing, Jul. 2018.
14. [ASNR'18a] Yao Xiao, Yun Liang, Yunmei Chen, Xiaojing Ye, Ruogu Fang, "Multi-Modality PET-MRI Image Joint Reconstruction", ASNR 56th Annual Meeting & The Foundation of the American Society of Neuroradiology (ASNR) Symposium, Vancouver, BC, Canada, Jun. 2018. (Oral Presentation)
15. [ASNR'18b] Yao Xiao, Pina C. Sanelli, Ruogu Fang, "Image Super-Resolution and Radiation Reduction via Deep Learning", ASNR 56th Annual Meeting & The Foundation of the American Society of Neuroradiology (ASNR) Symposium, Vancouver, BC, Canada, Jun. 2018. (Oral Presentation)
16. [BMES'17a] Yao Xiao, Ruogu Fang, "Cardiovascular Disease Prediction and Risk Factor Mining with RFMiner", Biomedical Engineering Society Annual Meeting (BMES), Phoenix, AZ, USA, Oct. 2017.
17. [BMES'17b] Yao Xiao, Ruogu Fang, "Accelerated Brain Perfusion Imaging via Spatio-Temporal Super-Resolution", Biomedical Engineering Society Annual Meeting (BMES), Phoenix, AZ, USA, Oct. 2017. (Oral Presentation)
18. [MICCAI-MLMI'17] Yao Xiao, Ajay Gupta, Pina C. Sanelli, and Ruogu Fang, "STAR: Spatio-Temporal Architecture for super-Resolution in Low-Dose CT Perfusion", Machine Learning in Medical Imaging Workshop in conjoint with the 20th Annual International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-MLMI), Lecture Notes in Computer Science book series (LNCS, volume 10541), pp 97-105, Quebec, Canada, Sep. 2017, (Oral Presentation, MICCAI Student Travel Award, 50/810=6% Award Rate)
19. [CHASE'17] Yao Xiao, Ruogu Fang, "RFMiner: Risk Factors Discovery and Mining for Preventive Cardiovascular Health", The second IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), Philadelphia, PA, USA, July 2017. (CHASE Student Travel Award)

RESEARCH EXPERIENCES

--- Postdoc Projects at Court Lab (Dr. Laurence Court), MDACC

- Rib Metastases and Fracture Detection for Radiotherapy Planning, Project Leader, Postdoc Fellow, Court Lab, MDACC, Jul. 2021 - Present.
  - Responsibility: Develop automated tools for rib metastases and fracture detection for automated radiation therapy treatment planning.
- Customizable Landmark-based Field Aperture Generation for automated Whole-brain Radiation Therapy Treatment Planning, Project Leader, Postdoc Fellow, Court Lab, MDACC, Sep. 2020 - Present.
  - Responsibility: Customizable landmark-based field aperture generation approaches development for palliative whole-brain patients, Image Processing, Clinical Review, and Result Analysis.
  - Publications: [AAPM'21a, BMES'21]

--- Ph.D. Projects at SMILE Lab (Dr. Ruogu Fang), UF

- Low-Dose CT Image Noise Simulation & Denoising, Project Co-leader, Research Assistant, SMILE Lab, UF, Sep. 2019 - May.2020.
  - Responsibility: Physical Phantom Multi-Dose Level CT Scanning, Data Collection and Preprocessing, Realistic Noise Simulation and Multiple Low-dose CT Denoising via Deep Learning Models.
- Multimodal CT Image Restoration via Deep Learning, Project Leader, IRB Coordinator, Research Assistant, SMILE Lab, UF, Jan. 2019 - Aug. 2020.
  - Responsibility: IRB Application Completion for the Project Study, Patient Data Collection and De-Identification, Data and Image Preprocessing, Multimodal CT Image Super-Resolution and Denoising via Transfer Learning and Generative Adversarial Networks, Radiologist Visual Assessment Grading Specification, and Interdisciplinary Research Connection between Researchers and Doctors at different departments.
  - Publications: [SIIM'20, ISBI'20, ISBI'20, SPIE MI'20, Frontiers in Neurology'19, RSNA'19, BMES'19]
- CT Perfusion Image Restoration & Radiation Optimization, Project Leader, Research Assistant, SMILE Lab, UF, Mar. 2018 - Dec. 2018.
  - Responsibility: Patient Data Preprocessing, CT Image Super-Resolution and Denoising via Spatial-Temporal Convolutional Neural Networks, and Perfusion Maps Generation.
  - Publications: [Book Chapter'19a, BMES'18a, TAPIA'18]
- Multi-Modality (PET, MRI, CT) Brain Image Co-Registration, Project Leader, Student Mentor, Research Assistant, SMILE Lab, UF, Feb. 2018 - Jun. 2018.
  - Responsibility: Multi-Modality Brain Image Collection and Preprocessing, Mentor the Students and Direct the Project.
  - Publications: [BMES'18c]
- PET-MRI Brain Image Edge-Reconstruction, Research Assistant, SMILE Lab, Oct. 2017 - May. 2018.
  - Responsibility: Multimodal Brain Image Collection and Preprocessing, Vectorial Total-Variation Regularized Joint Image Reconstruction via Solving L1 Minimization Problem.
  - Publications: [BMES'18b, ASNR'18]
- CT Perfusion Image Super-Resolution via Deep Learning, Project Leader, Research Assistant, SMILE Lab, FIU, Aug. 2016 - Dec. 2017.
  - Responsibility: CT Perfusion Image Preprocessing, CT Perfusion Image Super-Resolution via Spatial-Temporal Convolutional Neural Networks, and Perfusion Maps Generation.
  - Publications: [ASNR'18, BMES'17a, MICCAI-MLMI'17]

--- Other Research Projects

- Microscopy & Pathology Image Super-Resolution, Project Leader, Dr. Lin Yang, Data Science Course Project, Jan. 2018 - May. 2018.
  - Microscopy & Pathology Image Preprocessing, Color Lookup Table Design and Color Correction, LD-HD Image Registration, and LD Image Super-Resolution.
- Online Scalable Social Network Spam Detection System, Project Member, Dr. Liting Hu, FIU, Aug. 2016 - Dec. 2016.
  - Social Network Spam Message Labeling, Classification, and Detection.
- Risk Factor Analysis for Heart Attack via Machine Learning, Project Leader, Research Assistant, SMILE Lab, FIU, Jan. 2016 - Jul. 2016.
  - Data Collection and Preprocessing, Heart Attack Classification, Risk Factor Ranking and Analysis.

INVITED TALKS

- Deep Learning-based Auto-contouring and Customizable Landmark-based Field Aperture Generation for Whole-Brain Radiation Therapy Treatment Planning
  - -- at the Biomedical Engineering Society Annual Meeting (BMES), Orlando, FL, Oct. 2021 (Oral Presentation)
- From Zero to One
  - -- at the Herbert Wertheim College of Engineering Graduation Ceremony, University of Florida, Gainesville, FL, May. 2020 (Public Talk)
- Transfer Generative Adversarial Network for Multimodal CT Image Super-Resolution.
  - -- at the 8th Annual Pruitt Research Day with the J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, Nov. 2019 (Oral Presentation)
  - -- at the 3rd Annual Diversity Graduate Research Symposium, UF, Oct. 2019
- STDN: Spatial-Temporal Denoising Net for Radiation Optimization in CT Perfusion.
  - -- at the 7th Annual Pruitt Research Day with the J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, Nov. 2018
  - -- at the 2nd Annual Diversity Graduate Research Symposium, University of Florida, Gainesville, FL, Oct. 2018
- CT Perfusion Image Super-Resolution and Radiation Reduction via Deep Learning.
  - -- at the 6th Annual Pruitt Research Day with the J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, Nov. 2017
- STAR: Spatio-Temporal Architecture for Super-Resolution in CTP images.
  - -- at the 2017 NHLBI Systems Biology Symposium, NIH Campus Bethesda, MD, Oct. 2017
  - -- at the Graduate Student Appreciation Week, FIU, FL, Apr. 2017 (Oral Presentation)

HONORS & AWARDS

- 2022 SWAAPM Best Poster Award
- 2020 BMES Career Development Award
- Graduation Ceremony Student Speaker, the Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL, USA, May. 2020
- ISBI (NIH, NIBIB, NCI-funded) Student Travel Award, UF GSC Student Travel Award to attend the 2020 IEEE International Symposium on Biomedical Imaging (ISBI), Iowa City, Iowa, USA, Apr. 2020
- UF BME Department-funded Student Travel Award to attend the 2019 Biomedical Engineering Society Annual Meeting (BMES), Philadelphia, Pennsylvania, USA, Oct. 2019
- UF BME Department-funded Student Travel Award to attend the 2018 Biomedical Engineering Society Annual Meeting (BMES), Atlanta, Georgia, USA, Oct. 2018
- Tapia (ACM-funded) Student Travel Award to attend the 2018 ACM Richard Tapia Celebration of Diversity in Computing (Tapia), Orlando, FL, USA, Sep 2018
- MICCAI Student Travel Award to attend 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2017, Quebec City, Quebec, Canada, September 2017
- CHASE (NSF-funded) Student Travel Award to attend The second IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), Philadelphia, PA, USA, July 2017

TEACHING & MENTORING EXPERIENCES

- Student Mentor: Court Lab, University of Texas MD Anderson Cancer Center, since Spring 2021
- Student Mentor: SMILE Lab, University of Florida, Fall 2017- Summer 2020
- Student Mentor: the Student Science Training Program (SSTP), University of Florida, Summer 2018, Summer 2019
- Tutor: Discrete Math and Discrete Structures, Academic Success Institute (ASI), Computer Science and Information Technology Tutoring, Florida International University, Summer 2017
- Teaching Assistant: Human Computer Interaction, School of Computing and Information Sciences, Florida International University, Spring 2017

ACADEMIC SERVICES & LEADERSHIP:

- Peer Reviewer: Nature Journal Scientific Reports, IEEE Transactions on Medical Imaging (TMI), Biomedical Engineering Society(BMES) Annual Meeting, Journal of the American Medical Informatics Association (JAMIA), Neurocomputing (NEUCOM) Journal, Machine Vision and Applications (MVA), Journal of Electronic Imaging (JEI), World Wide Web (WWW) Journal, Human-centric Computing and Information Sciences(HCIS) Journal, Grace Hopper Celebration (GHC) Conference, PLOS ONE Journal, Intelligent and Resilient Computing for a Collaborative World (COMPSAC) Anniversary Conference.
- Deep Learning Journal Club Organizer: Court Lab, MDACC, 2021
- Artificial Intelligence Program Committee: Grace Hopper Celebration of Women in Computing, 2020
- Student Travel Grant Reviewer: Graduate Student Council (GSC), UF, 2020
- GSC Executive Committee: BME Department GSC Executive Board, UF, 2019-2020
- BMES Abstract Paper Review Chair: SMILE Lab, UF, 2018, 2019
- Journal Club Organizer: SMILE Lab, UF, 2018
- Student Mentor: UF-SSTP Program, UF, Summer, 2018, 2019

PROFESSIONAL MEMBERSHIPS

- American Association of Physicists in Medicine (AAPM), 2021-2022
- The Society of Photo-optical Instrumentation Engineers (SPIE), 2020
- The Society for Imaging Informatics in Medicine (SIIM), 2020
- The Radiological Society of North America (RSNA), 2019, 2021
- The Biomedical Engineering Society (BMES), 2017-2021
- Institute of Electrical and Electronics Engineers (IEEE), membership since 2017-2020
- The Medical Image Computing and Computer Assisted Intervention Society (MICCAI), 2017

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