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Welcome to my homepage :)

I have a passion for understanding people's experiences, pain points, and frustrations, and finding solutions to enhance their productivity and satisfaction through technology. Combining this passion with my expertise in data science, machine learning, and user research, I strive to empower people of diverse backgrounds and abilities to lead a more accomplished life.



  • PhD in computer science from Boston University (specialized in human computation and human computer interaction)
    Advised by: Professor Margrit Betke and Professor Danna Gurari, 2012-2017

  • PhD Thesis on "Accurate and Budget-Efficient Text, Image, and Video Analysis Systems Powered by the Crowd"

  • Technical Product Manager at Microsoft Azure Machine Learning (Area: Model Interpretability/Explainability)

  • Former data scientist at Rue Gilt Groupe (Rue La La * Gilt)

  • Experienced in machine learning, user research, human computer interaction, and human computation

Skills


Research Methods

  • Formative Qualitative Research (e.g. ethnography, contextual inquiry, workplace interviews, Jobs to Be Done, diary studies, competitive analysis etc.)
  • Evaluative Qualitative Research (e.g. in-person and remote usability & user testing, lab studies, RITE studies, intercept interviews, task analysis etc.)
  • Quantitative Research (e.g. survey research, experimental design, A/B tests, benchmarking, log data analysis)
  • Presentation of Concise Findings and Recommendations to Stakeholders


Machine Learning and Data Science

  • Regression, Classification, Feature Engineering, Decision Trees, Random Forest, SVM, Boosting, Regularization, PCA, Model Selection
  • Recommender Systems: Collaborative Filtering, Association Rules (Frequent Itemset Mining)
  • Deep Learning: Keras


Statistical Skills

  • Hypothesis Testing and Confidence Intervals
  • Factor Analysis
  • A/B Testing


Data Analysis Tools

  • Spark, Snowflake, Scikit-learn, Pandas, NumPy, Matplotlib, Matlab, Weka, NLTK


Programming Languages and Web Technologies

  • Scala, SQL, Java, Python, C, JavaScript, HTML, CSS



Work Experience


  • November 2018-Present

    microsoftTechnical Product Manager

    Microsoft Azure Machine Learning Group

  • September 2017-November 2018

    rue gilt groupeData Scientist

    I am part of the brand new and passionate "Rue Gilt Groupe's Data Science" team working on challenging data science and machine learning projects like recommendation systems and advanced statistical prediction models to drive revenue and enhance personalized shopping experiences of our 20M members.

    Highlights:

    ➢ Keynote speaker on "Powering Mobile eCommerce via Data Science" SwiftFest Boston | 2018: http://swiftfest.io/schedule/#session-056

    ➢ Panelist and presenter for “How data science is transforming different industries” panel: Persian Women in Tech, Boston, MA., April 19, 2018.

    ➢ Industry chair of the 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018, Zurich, Switzerland)

    ➢ Most innovative idea in the first Rue La La's company-wide hackathon, May 2018.

  • Summer 2016

    rue gilt groupeResearch Intern

    Machine Intelligence Group
    Mentored by: Dr. Praveen Paritosh, Dr. Ka Wong

    • Designed a human computation framework to collect data about many commonsense properties of questions and answers, such as question interestingness and answer helpfulness (JavaScript, HTML, CSS).
    • Released a dataset that contains about 310,000 annotations by 3 independent raters on around 8,000 unique question-answer pairs from around 70 different Q\&A sites.
    • Analyzed the relationship between question answering websites' organic signals such as “upvote”, “downvote”, and commonsense properties.

  • Summer 2015

    rue gilt groupeResearch Intern

    Machine Intelligence Group
    Mentored by: Dr. Praveen Paritosh

    • Involved in research, formulation, and implementation of a human computation framework to better understand diverse question answer content in Community Question Answering websites.

Publications


Google Research Internship

  • M. Sameki, A. Barua, and P. Paritosh, “QUEST: A Common Sense Approach to Annotating Q&A Content”, Conference on Collective Intelligence, Zurich, Switzerland, July 2018.

  • M. Sameki, A. Barua, and P. Paritosh, “Rigorously Collecting Commonsense Judgments for Complex Question-Answer Content”, AAAI Conference on Human Computation and Crowdsourcing (HCOMP), San Diego, USA, October 2015.


 Usability Testing

  • W. Feng, M. Sameki and M. Betke, “Exploration of Assistive Technologies Used by People with Quadriplegia Caused by Degenerative Neurological Diseases”, International Journal of Human-Computer Interaction, 2017.


Human-in-the-loop Platforms, Human Computation

  • D. Gurari, K. He, B. Xiong, J. Zhang, M. Sameki, S. D. Jain, S. Sclaroff, M. Betke, and K. Grauman. "Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)." International Journal of Computer Vision (IJCV), 2018.

  • M. Sameki, T. Zhang, L. Ding, M. Betke, and D. Gurari, “Crowd-O-Meter: Predicting the Vulnerability of Crowd Workers to False News”, AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2017.

  • M. Sameki, K. Mays, L. Guo, P. Ishwar, and M. Betke, “An Algorithm for Budget-Optimized Crowdworker Allocation, Applied to the Sentiment Analysis of Political Tweets”, AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2017.

  • D. Gurari, K. He, M. Sameki, B. Xiong, J. Zhang, M. Betke, S. Sclaroff, S. Jain and K. Grauman, “Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)”, International Journal of Computer Vision, 2017.

  • J. Zhang, S. Ma, M. Sameki, S. Sclaroff, M. Betke, Z. Lin, X. Shen, B. Price, and R. Měch, "Salient Object Subitizing", International Journal of Computer Vision (IJCV), 2017.

  • M. Sameki, M. Gentil, D. Gurari, E. Saraee, E. Hasenberg, J. Y. Wong, and M. Betke, “CrowdTrack: Interactive Tracking of Cells in Microscopy Image Sequences with Crowdsourcing Support”, In Proc. of The Workshop on Human Computation for Image and Video Analysis (GroupSight), in conjunction with AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2016. (Best Paper Runner-up Award)

  • M. Sameki, M. Gentil, K. Mays, L. Guo, and M. Betke, “Dynamic Allocation of Crowd Contributions for Sentiment Analysis during the 2016 U.S. Presidential Election”, AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2016.

  • D. Gurari, M. Sameki, and M. Betke, “Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System”, AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2016.

  • D. Gurari, M. Sameki, Z. Wu, and M. Betke, “Mixing Crowd and Algorithm Efforts to Segment Objects in Biomedical Images”, The Interactive Medical Image Computation Workshop (IMIC), in conjunction with the conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.

  • M. Gentil, M. Sameki, D. Gurari, E. Saraee, E. Hasenberg, J. Y. Wong, and M. Betke, “Interactive Tracking of Cells in Microscopy Image Sequences”, The Interactive Medical Image Computation Workshop (IMIC), in conjunction with the conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.

  • M. Sameki, A. Barua, and P. Paritosh, “Rigorously Collecting Commonsense Judgments for Complex Question-Answer Content”, AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2015

  • M. Sameki, D. Gurari, and M. Betke, “Predicting the Quality of Crowdsourced Image Drawings from Crowd Behavior”, AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2015.

  • M. Sameki, D. Gurari, and M. Betke, “Characterizing Image Segmentation Behavior of the Crowd”, Collective Intelligence, 2015.

  • J. Zhang, S. Ma, M. Sameki, S. Sclaroff, M. Betke, Z. Lin, X. Shen, B. Price, and R. Mech, “Salient Object Subitizing”, In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2015.

  • D. Gurari, D. Theriault, M. Sameki, B. Isenberg, T. A. Pham, A. Purwada, P. Solski, M. Walker, C. Zhang, J. Y. Wong, and M. Betke, “How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-Experts, and Algorithms”, IEEE Winter Conference on Applications of Computer Vision (WACV), 2015.

  • D. Gurari, D. Theriault, M. Sameki, and M. Betke, “How to Use Level Set Methods to Accurately Find Boundaries of Cells in Biomedical Images? Evaluation of Six Methods Paired with Automated and Crowdsourced Initial Contours”, The Interactive Medical Image Computation Workshop (IMIC), in conjunction with the conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014. (Best Paper Award for Innovative Idea)


News


12.01.2018. My New Journey With Microsoft

I'm thrilled and delighted to announce that I'll be joining the Microsoft Inc. to contribute to data science solutions on Microsoft Azure cloud. In particular, I will be the PM for the model interpretability modules within Azure Machine Learning platform.

04.19.2018. Persian Women in Tech Data Science Panel!

I will be serving as a panelist on data science panel of persian women in tech, Boston chapter gathering. Please join us if interested!

04.15.2018. Paper Acceptance Notification!

Our paper (from my internship at Google Research) is accepted for poster presentation at the Collective Intelligence 2018 (CI'18).

01.10.2018. Paper Acceptance Notification!

Our paper "Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)" is accepted for publication by the International Journal of Computer Vision (IJCV).

08.22.2017. A new and exciting chapter begins...

I'm thrilled and delighted to announce that I'll be joining the Rue Gilt Groupe Inc. (Rue La La + Gilt) to contribute to data science solutions using bleeding-edge technologies that power a half-billion-dollar online luxury retail website. I feel immensely humbled, privileged, and excited by this new opportunity and can't wait to get started!

08.02.2017. PhD Dissertation Defense!

I successfully defended my dissertation on "Accurate and Budget-Efficient Text, Image, and Video Analysis Systems Powered by the Crowd". Grateful to my advisors and mentors and very excited about the next chapter!

07.08.2017. Paper Acceptance Notification!

Our paper on "Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)" is accepted to appear at the International Journal of Computer Vision.

06.27.2017. Paper Acceptance Notification!

Our paper on "Exploration of Assistive Technologies Used by People with Quadriplegia Caused by Degenerative Neurological Diseases" is accepted to appear at the International Journal of Human-Computer Interaction.

06.25.2017. Paper Acceptance Notification!

Our paper is accepted to appear at the AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2017.

01.17.2017. Paper Acceptance Notification!

Our paper is accepted to one of the most important conferences in the field of communication research: International Communication Association (ICA).

11.21.2016. Paper Acceptance Notification!

Our paper is accepted to International Journal of Computer Vision (VISI).

11.03.2016. Best Paper Runner-up Award at HCOMP Groupsight'16

Our paper won the best paper runner-up award at the workshop on Human Computation for Image and Video Analysis (in conjunction with HCOMP 2016).

08.30.2016. Paper Acceptance Notification!

Our paper is accepted for oral and poster presentation at the Human Computation for Image and Video Analysis (GroupSight) workshop to be held in conjunction with HCOMP 2016, in Austin, Texas.

08.15.2016. Another Travel Grant for Grace Hopper Celebration from Google

I have been selected for the Google GHC Intern Travel Grant. I will attend the conference on October 19th-21st in Houston, Texas.

08.07.2016. Paper Acceptance Notification!

Two papers are accepted for oral and demo presentation at the Interactive Medical Image Computation (IMIC) workshop to be held in conjunction with MICCAI 2016, in Athens.

08.03.2016. Paper Acceptance Notification!

Two papers are accepted in the Human Computation Conference 2016 (HCOMP'16). One for oral presentation in the main track and one for poster presentation.

05.16.2016. Internship at Google Research

I will be back to Google Research (San Francisco) working in the Machine Intelligence team (Manager: Dr. Praveen Paritosh).

04.26.2016. Paper Acceptance Notification!

Our paper is accepted for oral presentation at the International Workshop on Computer Vision for Microscopy Image Analysis (CVMI) to be held in conjunction with CVPR 2016 in Las Vegas on Friday, July 1.

09.22.2015. Internship Paper Acceptance Notification!

Our paper (from my internship at Google Research) is accepted for oral presentation at the Human Computation Conference 2015 (HCOMP'15).

08.11.2015. Travel Grant for Grace Hopper Celebration from Google

I have been selected for the Google GHC Intern Travel Grant. I will attend the conference on October 14-16th in Houston, Texas.

08.06.2015. Selected for 10XList (The Most Talented Women Engineers in College)

I have been chosen for inclusion to the 2017 10XList, a network of the top College Women Engineers. Based on the statement, the selection criteria is based on my peer recommendations, software engineering internship at Google, and research/teaching fellowship at Boston University.

06.17.2015. Paper Acceptance Notification!

Our paper is accepted for poster presentation at the Human Computation Conference 2015 (HCOMP'15).

05.31.2015. Internship at Google Research

I will spend Summer 2015 at Google Research (San Francisco) working in the Machine Intelligence team (Manager: Dr. Praveen Paritosh).

05.01.2015. Travel Grant for Collective Intelligence Conference

I received the travel grant to attend the Collective Intelligence Conference in May 2015 in San Jose.

03.1.2015. Paper Acceptance Notification!

Our paper is accepted for oral presentation at the CVPR Conference 2015 (premier annual computer vision conference).

02.25.2015. Paper Acceptance Notification!

Our paper is accepted for oral presentation at the Collective Intelligence Conference 2015 (CI'15).

01.16.2015. Travel Grant for CRA-W Grad Cohort Workshop

I received the travel grant to attend Grad Cohort Workshop held in April 2015 in San Francisco.

02.25.2015. Paper Acceptance Notification!

Our paper is accepted for oral presentation at the Collective Intelligence Conference 2015 (CI'15).

12.24.2014. Student Volunteer Scholarship at CSCW'15

I have been selected to serve as a Student Volunteer (SV) at CSCW'15 in March 2015 in Vancouver.

09.14.2014. Best Paper Award at MICCAI'14

Our paper won the best paper award for innovative idea at the Interactive Medical Image Computing (IMIC) Workshop(in conjunction with MICCAI 2014).

08.26.2014. Paper Acceptance Notification!

Our paper is accepted for oral and demo presentation at the IEEE Winter Conference on Applications of Computer Vision(WACV'15).

08.20.2014. Graduate College of Arts and Science Veteran ITF Talks at Orientation

This year is going to be my second year of talking at the International Teaching Fellow orientation sessions. This orientation is for incoming international graduate students in GRS, and aims to make them more prepared for their TF duties. These are the topics we have to cover: Managing Language and Cultural Differences and Effective Ways of Improving English, Relating Effectively to US Undergrads and Faculty, Making Friends and Social Connections, Managing Time and Being an Effective Grad Student as well as TF , and An ITFs View of Teaching US Undergrads (at BU).

07.24.2014. NSF award to Margrit Betke's group (my research group) on crowdsourcing annotations of cell images

My research group has won a new grant to support our research entitled “RI: Small: Using Humans in the Loop to Collect High-quality Annotations from Images and Time-lapse Videos of Cells.”.

07.24.2014. Artemis Project

I was a part of this project which aimed to expose a group of girls(age 13-14) to different varieties of computer science(computer vision being one of them). I helped another PhD student to do an introduction to computer vision, and accomplish a computer lab activity with the girls.

07.14.2014. Summer Pathway 2014

I led the Image and Video Computing lab's outreach effort for this year's summer pathways (for high school girls interested in STEM). After introducing the BU CS department and its research labs, I described HCI/computer vision projects of our department to the girls, and accomplished a fun computer science activity with them.

07.06.2014. Paper Acceptance Notification!

Our paper is accepted for oral and demo presentation at the Interactive Medical Image Computation (IMIC) workshop to be held in conjunction with MICCAI 2014, in Boston on Sunday, September 14.

01.21.2014. Travel Grant for CRA-W Grad Cohort Workshop

I received the travel grant to attend Grad Cohort Workshop held in April 2014 in Santa Clara.