Experience

December 2020 - present	Senior Full-Stack Engineer Adobe, San Jose, CA
July 2019 - December 2020	Research Scientist II Adobe Research, San Jose, CA
August 2016 - July 2019	Research Scientist I Adobe Research, San Jose, CA
August 2013 - May 2016	Research Assistant University of Maryland, College Park, MD
June 2013 - August 2013	Software Engineer Intern Foursquare, New York, NY Implement features to encourage user conversion and growth; ran A/B testing and reported on results.
September 2011 - May 2013	Teaching Assistant Department of Computer Science, University of Maryland Conduct discussion and review sessions; grade papers and projects; hold office hours.
August 2008 - May 2010	Teaching Assistant Department of Computer Science, University of Delaware Conduct lab and review sessions; grade papers and projects; hold office hours
May 2008 - May 2010	Computer Lab Assistant Departments of Computer Science and Computer & Electrical Engineering, University of Delaware Maintain department machines (Mac, Windows, Linux); set up, wire, and maintain networks; provide computer assistance for graduate students and professors.

Education

September 2011 - May 2016	Ph.D in Computer Science University of Maryland, College Park, MD Thesis: A Visual Analytics Approach to Comparing Cohorts of Event Sequences
September 2011 - May 2014	M.S. in Computer Science University of Maryland, College Park, MD Courses: view Artificial Intelligence Planning Computational Linguistics Complexity Theory Computational Geometry Future of HCI (Reading Seminar) Information Visualization Scientific Computing I Database Management Systems Computational Processing of Pictorial Information Tangible Interactive Computing
September 2007 - May 2011	B.S. in Computer Science University of Delaware, Newark, DE Degree with Distinction. Senior Thesis: "Parsing Java Method Names for Improved Software Analysis" Minor: Math Courses: view Arts & Humanities Elementary & Intermediate Arabic Introduction to Printmaking History of Photography Oral Communications in Business Critical Reading/Writing & Technical Writing Classical Mythology & Greek Tragedy Ice Skating I Introduction to Linguistics Computer Science & Engineering General Computer Science for Engineers Introduction to Computer Science Data Structures Machine Organization & Assembly Language Program Development Techniques Automata Theory Logic in Computer Science I & II Introduction to Algorithms Computers, Ethics & Society Independent Study: more information. Computer Architecture Operating Systems Advanced Software Engineering Introduction to Artificial Intelligence Introduction to Digital Systems Science & Mathematics Introduction to Human-Computer Interaction Statistical Methods Discrete Math I & II Analytical Geometry & Calculus A, B, & C Introduction to Numerical Analysis & Algorithmic Computation Machine Organization & Assembly Language Fundamentals of Physics I & II

Projects

January 2014 - May 2016	CoCo: A Visual Analytics Approach to Comparing Cohorts of Event Sequences Human-Computer Interaction Lab, University of Maryland, College Park Co-advisors: Ben Shneiderman and Catherine Plaisant Designing, developing, and evaluating a visual analytics tool for performing comparison of two cohorts of event sequence data. More information: website
August 2013 - May 2016	EventFlow Human-Computer Interaction Lab, University of Maryland, College Park Co-advisors: Ben Shneiderman and Catherine Plaisant Develop and maintain visual analytics tool for displaying and modifying event sequence data. More information: website
May 2012 - January 2013	"Punctuation Input on Touchscreen Keyboards: Analyzing Frequency of Use and Mode-switching Costs" Human-Computer Interaction Lab, University of Maryland, College Park Advisor: Leah Findlater Updating and evaluating a 10-finger QWERTY touchscreen keyboard for the Microsoft Pixelsense. Running a user study with ten participants to evaluate performance of the keyboard against the status quo. More information: view Abstract Non-alphanumeric symbols are rarely considered in text input research even though some punctuation is more frequent than the least common English letters. In this paper, we first evaluate punctuation frequency in two contrasting sources (Twitter and Google N-Grams). We then present a controlled study to compare existing techniques for ten-finger punctuation input on touchscreens, particularly looking at the cost of switching to and from punctuation input mode: (1) a status quo keyboard, which provides an alternate keyboard layer with punctuation symbols, and (2) an approach where users draw punctuation symbols atop the Qwerty keyboard itself. Our findings underscore the importance of considering punctuation input in keyboard design and highlight the cost of mode- switching to enter punctuation marks. Links Tech Report
September - December 2012	TopicFlow Designed and developed a novel visualization tool for analyzing tweets over time. Implemented live search, filtering, and brushing and linking interactions. More information: view Links Website Video Demo (mp4) Paper (PDF)
January 2010 - May 2011	"Parsing Java Method Names for Improved Software Analysis" Software Analysis and Compilation Lab, University of Delaware Co-advisors: Lori L. Pollock, Vijay K. Shanker Developing, implementing, and evaluating a tool to automatically identify the parts-of-speech in multiword Java method names and chunk these words into meaningful phrases based on lexical relationships for improved software analysis. More information: view Abstract Modern software engineering tools are driven by sophisticated automatic soft- ware analysis. Previous research indicates that the natural language (user-defined names) provides strong lexical clues about program behavior and structure and can be used to increase the effectiveness of various software engineering tools. Automatic analysis of the natural language usage in software requires accurate automatic parsing of the multi-word names (e.g., isPointInImage). This research focuses on developing the analysis techniques for an accurate parser for multi-word Java method names; this includes both a part-of-speech tagger and phrase chunker. These contributions form the foundation for natural language program analysis. Links Poster Paper
June - August 2009	"Extending and Evaluating a Software Word Usage Model for C++" Software Analysis and Compilation Lab, University of Delaware Graduate Mentor: Emily Hill Examine differences of Java & C++ and apply a Software Word Usage Model (SWUM) to C++. More information: view Abstract Currently, there are many automatic and semi-automatic tools to expedite software maintenance; however, most of these tools rely solely on the structural model of the program, while disregarding any semantic information from the natural language used by the programmer. In previous work towards solving this problem, we develepod a Software Word Usage Model (SWUM) for Java. SWUM enables software engineering tools to apply linguistic relations between words to form a more complete interpretation of the program. Although SWUM is currently defined for Java, we believe that SWUM is capable of representing programs in different programming languages. This project focuses on investigating the generality and extensibility of SWUM for programming languages beyond Java. The potential structural, semantic, and syntactic modications of SWUM for other languages were examined, particularly analyzing the differences between Java and C++. We evaluated the effectiveness of the phrases generated from SWUM for C++ code, and modified the SWUM construction algorithm to handle C++ features as needed. Links Website Poster Paper

Publications

November 2021	“Just Follow the Lights”: A Ubiquitous Framework for Low-Cost, Mixed Fidelity Navigation in Indoor Built Environments Philip Dasler, Sana Malik, Matthew Louis Mauriello in Proceedings of the IEEE VIS 2021
October 2021	An Evaluation-Focused Framework for Visualization Recommendation Algorithms Zehua Zeng, Phoebe Moh, Fan Du, Jane Hoffswell, Tak Yeon Lee, Sana Malik, Eunyee Koh, Leilani Battle in Proceedings of the IEEE VIS 2021 Best Paper Honorable Mention
August 2021	Learning to Recommend Visualizations from Data Xin Qian, Ryan A Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan in Proceedings of the KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
April 2021	Generating Accurate Caption Units for Figure Captioning Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan, Ryan A Rossi, Sana Malik, Tak Yeon Lee in Proceedings of the WWW '21: Proceedings of the Web Conference 2021
April 2020	Interactive Event Sequence Prediction for Marketing Analysts Fan Du, Shunan Guo, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu in Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI 2020)
April 2020	Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study Po-Ming Law, Sana Malik, Fan Du, Moumita Sinha in Proceedings of the CHI 2020 Workshop on Detection and Design for Cognitive Biases in People and Computing Systems
April 2020	The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias Po-Ming Law, Sana Malik, Fan Du, Moumita Sinha in Proceedings of Graphics Interface 2020 (GI 2020)
April 2020	Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study Po-Ming Law, Sana Malik, Fan Du, Moumita Sinha in Proceedings of the CHI 2020 Workshop on Detection and Design for Cognitive Biases in People and Computing Systems
May 2019	DeepCompare: Visual and Interactive Comparison of Deep Learning Models Sugeerth Murugesan, Sana Malik, Fan Du, Eunyee Koh, and Tuan Manh Lai in Proceedings of the IEEE computer graphics and applications (CG&A) 39 (5), 47-59
April 2019	Visualizing uncertainty and alternatives in event sequence predictions Shunan Guo, Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu, Donghyun Kim, Hongyuan Zha, Nan Cao in Proceedings of the CHI 2019
October 2018	MAQUI: Interweaving Queries and Pattern Mining for Recursive Event Sequence Exploration Po-Ming Law, Zhicheng Liu, Sana Malik, Rahul C Basole in IEEE Transactions on Visualization and Computer Graphics (TVCG).
October 2018	Perceptual Similarity Ranking of Temporal Heatmaps Using Convolutional Neural Networks Sana Malik, Sungchul Kim, and Eunyee Koh in Proceedings of the 2018 Workshop on Understanding Subjective Attributes of Data, with the Focus on Evoked Emotions. South Korea, p. 25-31.
April 2018	Interactive Campaign Planning for Marketing Analysts Fan Du, Sana Malik, Georgios Theocharous, and Eunyee Koh in Proceedings of the 2018 CHI Extended Abstracts on Human Factors in Computing Systems (CHI EA ’18). Montreal, CAN (2018).
April 2018	Personalizable and Interactive Sequence Recommender System Fan Du, Sana Malik, Georgios Theocharous, and Eunyee Koh in Proceedings of the 2018 CHI Extended Abstracts on Human Factors in Computing Systems (CHI EA ’18). Montreal, CAN (2018).
February 2018	An Approach to Identify Delivery of Palliative Radiation Therapy Using Health Care Claims Data: A Proof-of-Concept Application of a Visual Analytics Tool Eberechukwu Onukwugha, Jinani Jayasekera, James Gardner, Sana Malik, C Daniel Mullins, Arif Hussain, Jay P Ciezki, Chandana A Reddy, Brian Seal, Adriana Valderrama, and Young Kwok in Journal of Clinical Oncology: Clinical Cancer Informatics (JCO CCI). Vol. 2, p. 1-12.
June 2017	Coping with Volume and Variety in Temporal Event Sequences: Strategies for Sharpening Analytic Focus Fan Du, Ben Shneiderman, Catherine Plaisant, Sana Malik, and Adam Perer in IEEE Transactions on Visualization and Computer Graphics (TVCG). Vol. 3, Iss. 6. p. 1636-1649.
May 2017	popHistory: Animated Visualization of Personal Web Browsing History Matthew Carrasco, Eunyee Koh, and Sana Malik in Proceedings of the 2017 CHI Extended Abstracts on Human Factors in Computing Systems (CHI EA ’17). Denver, CO, USA (2016). p. 2429-2436.
April 2017	WimNet: Vision Search for Web Logs Sungchul Kim, Sana Malik, and Eunyee Koh in Proceedings of the 26th International Conference on World Wide Web Companion (WWW '17). Perth, AUS (2017). p. 803-804.
May 2016	Simplifying Overviews of Temporal Event Sequences Matthew Louis Mauriello, Ben Shneiderman, Fan Du, Sana Malik, and Catherine Plaisant in Proceedings of the 2016 CHI Extended Abstracts on Human Factors in Computing Systems (CHI EA ’16). San Jose, CA, USA (2016). p. 2217-2224. Best Paper Honorable Mention
May 2016	High-Volume Hypothesis Testing for Large-Scale Web Log Analysis Sana Malik, Eunyee Koh in Proceedings of the 2016 CHI Extended Abstracts on Human Factors in Computing Systems (CHI EA ’16). San Jose, CA, USA (2016). p. 1583-1590
May 2016	HIGH-VOLUME HYPOTHESIS TESTING: SYSTEMATIC EXPLORATION OF EVENT SEQUENCE COMPARISONS Sana Malik, Ben Shneiderman, Fan Du, Catherine Plaisant and Margret Bjarnadottir in ACM Transactions on Interactive Intelligent Systems (TiiS), Volume 6 Issue 1, May 2016, Article No. 9 ACM New York, NY, USA
March 2016	Coping with Volume and Variety in Temporal Event Sequences: Strategies for Sharpening Analytic Focus Fan Du, Ben Shneiderman, Catherine Plaisant, Sana Malik, Adam Perer in IEEE Transactions on Vision and Computer Graphics, 2016 Mar 9.
December 2015	UNDERSTANDING ADHERENCE AND PRESCRIPTION PATTERNS USING LARGE SCALE CLAIMS DATA Margret Bjarnadottir, Sana Malik, Eberechukwu Onukwugha, Tanisha Gooden, Cather- ine Plaisant in PharmacoEconomics 2016 Feb; 34(2):169-79.
March 2015	Cohort Comparison of Event Sequences with Balanced Integration of Visual Analytics and Statistics Sana Malik, Fan Du, Megan Monroe, Eberechukwu Onukwugha, Catherine Plaisant and Ben Shneiderman in Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI '15). p. 38-49.
November 2014	An Evaluation of Visual Analytics Approaches to Comparing Cohorts of Event Sequences Sana Malik, Fan Du, Megan Monroe, Eberechukwu Onukwugha, Catherine Plaisant and Ben Shneiderman in IEEE VIS Workshop on Visualizing Electronic Health Record Data
August 2014	Visual Analysis of Topical Evolution in Unstructured Text: Design and Evaluation of TopicFlow Alison Smith, Sana Malik, and Ben Shneiderman Lecture Notes on Social Network Analysis, Springer (to appear)
August 2013	TopicFlow: Visualizing Topic Alignment of Twitter Data over Time Sana Malik, Alison Smith, Timothy Hawes, Panagis Papadatos, Jianyu Li, Cody Dunne, Ben Shneiderman in Proceedings of 2013 IEEE/ACM ASONAM, ACM
May 2013	Part-of-Speech Tagging of Program Identifiers for Improved Text-based Software Engineering Tools Samir Gupta, Sana Malik, Lori Pollock and K. Vijay-Shanker in Proceedings of the 21st International Conference on Program Comprehension (ICPC). Best paper award.

Patents

August 2021

"GENERATING DIGITAL EVENT SEQUENCES UTILIZING A DYNAMIC USER PREFERENCE INTERFACE TO MODIFY RECOMMENDATION MODEL REWARD FUNCTIONS"

US Patent No. 11,085,777

Experience

Senior Full-Stack Engineer

Research Scientist II

Research Scientist I

Research Assistant

Software Engineer Intern

Teaching Assistant

Teaching Assistant

Computer Lab Assistant

Education

Ph.D in Computer Science

M.S. in Computer Science

B.S. in Computer Science

Projects

CoCo: A Visual Analytics Approach to Comparing Cohorts of Event Sequences

EventFlow

"Punctuation Input on Touchscreen Keyboards: Analyzing Frequency of Use and Mode-switching Costs"

Abstract

Links

TopicFlow

Links

"Parsing Java Method Names for Improved Software Analysis"

Abstract

Links

"Extending and Evaluating a Software Word Usage Model for C++"

Abstract

Links

Publications

“Just Follow the Lights”: A Ubiquitous Framework for Low-Cost, Mixed Fidelity Navigation in Indoor Built Environments

An Evaluation-Focused Framework for Visualization Recommendation Algorithms

Learning to Recommend Visualizations from Data

Generating Accurate Caption Units for Figure Captioning

Interactive Event Sequence Prediction for Marketing Analysts

Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study

The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias

Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study

DeepCompare: Visual and Interactive Comparison of Deep Learning Models

Visualizing uncertainty and alternatives in event sequence predictions

MAQUI: Interweaving Queries and Pattern Mining for Recursive Event Sequence Exploration

Perceptual Similarity Ranking of Temporal Heatmaps Using Convolutional Neural Networks

Interactive Campaign Planning for Marketing Analysts

Personalizable and Interactive Sequence Recommender System

An Approach to Identify Delivery of Palliative Radiation Therapy Using Health Care Claims Data: A Proof-of-Concept Application of a Visual Analytics Tool

Coping with Volume and Variety in Temporal Event Sequences: Strategies for Sharpening Analytic Focus

popHistory: Animated Visualization of Personal Web Browsing History

WimNet: Vision Search for Web Logs

Simplifying Overviews of Temporal Event Sequences

High-Volume Hypothesis Testing for Large-Scale Web Log Analysis

HIGH-VOLUME HYPOTHESIS TESTING: SYSTEMATIC EXPLORATION OF EVENT SEQUENCE COMPARISONS

Coping with Volume and Variety in Temporal Event Sequences: Strategies for Sharpening Analytic Focus

UNDERSTANDING ADHERENCE AND PRESCRIPTION PATTERNS USING LARGE SCALE CLAIMS DATA

Cohort Comparison of Event Sequences with Balanced Integration of Visual Analytics and Statistics

An Evaluation of Visual Analytics Approaches to Comparing Cohorts of Event Sequences

Visual Analysis of Topical Evolution in Unstructured Text: Design and Evaluation of TopicFlow

TopicFlow: Visualizing Topic Alignment of Twitter Data over Time

Part-of-Speech Tagging of Program Identifiers for Improved Text-based Software Engineering Tools

Patents

"GENERATING DIGITAL EVENT SEQUENCES UTILIZING A DYNAMIC USER PREFERENCE INTERFACE TO MODIFY RECOMMENDATION MODEL REWARD FUNCTIONS"