https://www.dykim.dev  ㅤ
https://www.linkedin.com/in/dongyoung-kim-

Education

Ph.D. in Biomedical Engineering

Texas A&M University, Texas, USA, 2016

Focus: Super-resolution imaging using PSF modeling and localization in multi-dimension and multi-modal imaging system.

Key Achievements:

  • Pioneering AI Applications in Microscopy: Developed AI-enhanced remote focusing multifocal plane microscopy technology, significantly improving the 3D visualization of molecular movements. This work represented a groundbreaking application of AI in super-resolution microscopy, achieving a remarkable 10nm accuracy in 3D localization of molecular positions.

  • Innovative AI-Driven Imaging Techniques: Introduced an AI-driven three-dimensional single-molecule localization super-resolution microscopy technique, surpassing traditional optical microscopy limits by 100 times. Utilized advanced photon modeling and localization strategies, setting new standards in the field of high-resolution microscopy.

  • Recognized Excellence: Won 1st place in the 3D single molecule localization microscopy category at the Swiss SMLMS Challenge (EPFL), validating the impactful contributions of AI technologies to the field of biomedical engineering.

  • Scholarly Contributions: Published several research papers in peer-reviewed journals, contributing to the academic and practical understanding of AI’s role in enhancing biomedical imaging techniques.

B.S. in Electrical Engineering and Computer Science

The University of Texas at Dallas, Texas, USA, 2012

Focus: Signal Processing, Digital Image Processing

Key Achievements:

  • Research Scholarship: Awarded a research scholarship for contributions to undergraduate research projects, demonstrating early commitment to advancing knowledge in engineering and computer science.

  • Senior Design Project: Secured 2nd Place for the Senior Design Project in 2011, showcasing innovative problem-solving and technical skills in developing practical solutions.

  • Undergraduate Scholarship: Received an Undergraduate Scholarship from 2010 to 2012 in recognition of outstanding academic performance and potential in electrical engineering and computer science.

Experience

Advanced AI Research Team Leader

KB Kookmin Bank, Finance AI Center. Seoul, South Korea, 2021 – Present

  • Spearheaded transformative generative AI initiatives, integrating cutting-edge technologies to streamline development timelines, enhance branding processes, and introduce industry-first financial services. Designed and delivered a code generation AI model service PoC, streamlining development timelines. Developed an enterprise character image generation AI model, optimizing branding processes. Led the successful demonstration and PoC of an industry-first generative AI financial service. Currently leading the creation of a generative AI business platform to empower a broader application of these technologies across the organization.

  • Led the development and internalization of generative AI model technologies, establishing a cloud-based model training environment and a high-speed GPU learning infrastructure to support specialized models for finance. Developed a cloud-based model training environment across Azure, GCP, AWS, and NCP, alongside a high-speed GPU learning infrastructure utilizing SXM5 H100 GPUs, InfiniBand, and GPU Direct Storage. Spearheaded the development of specialized generative AI models on both cloud and on-premises infrastructures, including a finance-focused language generation AI model (GPT based SFT model, 13B), a character image generation AI model (SDXL based PEFT model, 3.3B), and a speech recognition system tailored for meeting transcriptions (Whisper based fine tuning model).

  • Designed and implemented the KB AI-OCR platform, an AI-based central document processing system that significantly improved operational efficiency and customer convenience through automation and advanced AI technologies. This system reads and extracts necessary information from scanned documents. The KB AI-OCR is comprised of deep learning models that utilize GAN for character recognition, Attention for character reading, and Transformers for document interpretation, and it has been designed and deployed on the cloud (AWS) in a scalable manner using Microservices Architecture (MSA). Through this platform, various document processing services within the bank have been implemented, including the automation of personal and corporate CDD/EDD document processing for anti-money laundering, automation of foreign exchange transaction document processing, and a feature for account number photo capture and transfer within the bank’s smartphone app for customer convenience and operational efficiency improvement for bank employees. Over 20 services have been operated through the KB AI-OCR platform, enhancing both customer convenience and staff productivity.

  • Achievements:

    • Media Coverage on AI Initiatives

      • Pioneered the banking sector’s first generative AI adoption, as highlighted in Electronic Newspaper, 2023. Link

      • Featured in Digital Today, 2023, for spearheading the ‘next-generation AI’ underwater competition among major banks (KB Kookmin vs. Shinhan vs. Hana). Link

      • Led efforts that intensified the banking sector’s competition in adopting ChatGPT-like technologies, reported by Digital Today, 2023. Link

    • Patents Filed

      • Invented financial-domain specific generative AI security solutions, patent filed in Korea, 2023.

      • Developed financial-specific generative AI long- and short-term memory solutions, patent application submitted in Korea, 2023.

      • Innovated generative AI real-time information solutions, patent filed in Korea, 2023.

      • Designed a financial domain-specific image data augmentation system through deep learning image conversion techniques, patent pending in Korea, 2023.

      • Created an artificial intelligence financial document information extraction system, patent application in process in Korea, 2023.

      • Developed an automated system and method for customer due diligence checks using a deep learning-based optical character recognition technique, filed in Korea, 10-2023-0000066, 2023.

    • Awards Received

      • Received the Excellent Paper Award at the Fall Conference of the Korean Society for Intelligent Information Systems, 2022.

      • Honored with the Innovation Award in the IT Services Technology Innovation Group Category, South Korea, 2022.

    • Published Research

      • Authored a paper on the deep learning OCR-based document processing platform and its application in the financial domain, published in the Journal of Intelligence and Information Systems, 2023.

Senior Data Scientist

Hyundai Motors Group, AIRS, Seoul, South Korea, 2021

  • Directed the development of a DataLake for Hyundai’s shuttle service, ensuring the efficient handling, storage, and accessibility of real-time data for BI and service reporting, enhancing decision-making processes and service quality. This comprehensive project involved:

    • Collecting all data communicated via gRPC within microservice containers, utilizing Kafka and Kafka Streams for efficient data handling.

    • Leveraging Amazon EMR (Apache Spark) for the accumulation, processing, and refinement of data within Delta Lake, ensuring high-quality data storage solutions.

    • Structuring data in Delta Lake using Hive, and making it accessible for BI tools through Amazon Athena for operations like rehashing. Utilized Redash for data visualization, enhancing decision-making processes.

    • Automating data availability through secure API routines, facilitated by Amazon Lambda and API Gateway, thereby establishing a robust pipeline for data services.

Senior AI Engineer

Samsung Life Insurance, Data Analytics Laboratory, Seoul, South Korea, 2020 – 2021

  • Led the SLI-OCR Model Development Project, designing and training advanced models for OCR and data structuring that significantly reduced paperwork challenges and improved data processing accuracy. Designed and trained data generation simulators, image preprocessing, character detection, character recognition, and data structuring models. Implemented an OCR service program using Redis/Celery.

  • Pioneered the development of the Financial Knowledge Graph and Machine Reading Comprehension Search Engine, enhancing the accessibility and analysis of in-house financial knowledge and product information through AI technologies. Trained the SLI-BERT pretrained model. Developed a context search engine through the vectorization of in-house financial knowledge and product information. Developed a methodology for RDB to GraphDB conversion (Neo4J) using the context search engine and constructed a GraphDB. Developed the SLI-miniGPT engine and established a topic-specific text generation engine.

  • Achievements:

    • Media Coverage on AI Initiatives

      • Featured in Chosun Ilbo, October 29, 2010, for the development of ‘Deep Learning OCR,’ which has been recognized globally for significantly reducing paperwork challenges.

    • Patents Registred:

      • Invented a method for enhancing the quality of optical image data using artificial intelligence, patent registered in Korea, 2022 (1024182080000).

      • Developed an AI-based simulator for generating optical image documents, patent registered in Korea, 2022 (1024861050000).

      • Innovated a method for interpreting unstructured data based on artificial intelligence, patent registered in Korea, 2022 (1024576500000).

    • Awards Received:

      • Achieved 1st place in ICDAR SROIE leaderboard for text localization, December 2020.

      • Secured 1st place in ICDAR SROIE leaderboard for text recognition, December 2020.

    • Published Research:

      • Authored a paper “TLGAN: Document Text Localization Using Generative Adversarial Nets,“ published on Arxiv in 2020.

Postdoctoral Research Fellow 

Institute for Basic Science, Center for Soft and Living Matter, Ulsan, South Korea, 2017 – 2019

  • Developed AI-powered microscopy techniques, enabling real-time monitoring of cell states and advancing the field of live cell functional analysis. Utilized a combination of unsupervised machine learning and supervised semantic segmentation to convert transmitted light microscopy images into fluorescence microscopy images. Pioneered real-time monitoring of cell states within transmitted light microscopy images through the use of region proposal convolutional neural networks (CNNs) and convolutional neural networks, enhancing the accuracy and efficiency of cell tracking and monitoring in time-lapse videos with complementary learners.

  • Initiated innovations in AI-assisted histology imaging, establishing new techniques for in-silico histology staining and significantly advancing quantitative phase imaging. Initiated and conducted registration-free single-shot training data acquisition integrating NIR quantitative phase imaging with transmitted light imaging of stained histology slides. Advanced the field by training models for phase image to histology image translation using generative adversarial networks (GAN), achieving validation through Mean Opinion Scores from 20 pathologists, demonstrating no significant difference in quality.

  • Led the development of AI-assisted rapid 3D tomography, reducing imaging times and facilitating high-quality 3D volume acquisition, demonstrating the practical benefits of AI in medical imaging. This innovation significantly minimized subject motion issues and reduced imaging time, facilitating high-quality 3D volume acquisition.

  • Conceived and developed a novel, hand-powered microfluidic system, the “Fidget Spinner for the Point-of-Care Diagnosis of Urinary Tract Infection.” This innovation enables point-of-care testing capabilities, including the measurement of bacterial content in urine and drug resistance tests. The system is supported by custom-developed computer vision tools and machine learning models for the accurate quantification of enriched bacterial cells, showcasing a significant advancement in rapid diagnostic technologies.

  • Developed cutting-edge technology for early cancer diagnosis, “EV-IDENT: Tumor-Specific Extracellular Vesicle Identification using Machine Learning.” This technology leverages the analysis of nanovesicles in blood, utilizing machine learning for precise quantification through particle optical image modeling/localization optimization. It also accurately measures protein marker expression via single photon count, enabling the early detection of cancer cells and the extraction of vital health information from blood samples. This work represents a major leap forward in non-invasive cancer diagnostics.

  • Achievements:

    • Media Coverage on AI Initiatives

      • Featured on MBC News for innovating infection diagnosis with the transformation of a fidget spinner, 2020.

      • Highlighted in NewScientist for developing a fidget spinner device capable of diagnosing urinary tract infections in under an hour without a lab, 2020.

       

    • Patents Registered

      • Registered a patent for an analyzing method for cell image using artificial neural network and image processing apparatus for cell image in Korea, 2020. Korean Patent 1020846830000.

      • Registered a patent for a centrifugal force-based non-powered particle concentration apparatus and method of particle concentration in Korea, 2020. Korean Patent 1021037840000.

      • Registered a patent for a centrifugal force-based platelet isolation and testing system in Korea, 2020. Korean Patent 1020638650000.

    • Awards Received

      • Won 1st place at The 22nd International Conference On Miniaturized Systems For Chemistry And Life Sciences Shark Tank Competition, Taiwan, 2018.

    • Published Research

      • Authored a paper titled “AI-powered transmitted light microscopy for functional analysis of live cells,” published in Scientific Reports, 2019. DOI: 10.1038/s41598-019-54961-x

      • Authored a paper titled “A fidget spinner for the point-of-care diagnosis of urinary tract infection,“ published in Nature Biomedical Engineering, 2020. DOI: https://doi.org/10.1038/s41551-020-0557-2.

      • Authored a paper titled “EV-Ident: Identifying Tumor-Specific Extracellular Vesicles by Size Fractionation and Single-Vesicle Analysis,“ published in Analytical Chemistry, 2020. DOI: https://doi.org/10.1021/acs.analchem.0c00285

Research Fellow

Texas A&M University, Texas, USA, 2012 – 2016

Leveraged AI algorithms to develop groundbreaking technology for 3D visualization of molecular movements, achieving an unprecedented accuracy in the localization of molecular positions. This approach utilized multiple optimization techniques to integrate multidimensional data into a unified spatial framework, achieving an unprecedented 10nm accuracy in the 3D localization of molecular positions. By applying sophisticated spatial-temporal alignment algorithms to data captured from an array of cameras and sensors, we significantly improved the precision of spatial and temporal analysis, effectively overcoming the limitations of traditional optical illusions in three-dimensional imaging.

Introduced an AI-driven technique for super-resolution imaging, achieving a resolution 100 times beyond the conventional optical microscopy limit, showcasing the transformative impact of AI on microscopy. This method employed advanced photon modeling and localization strategies, including Maximum Likelihood Estimation (MLE) and Expectation Maximization (EM), to precisely track photon positions within images. The integration of multifocal plane microscopy, enhanced by AI optimization algorithms, facilitated robust three-dimensional reconstructions, setting a new standard in the field of high-resolution microscopy.

  • Achievements:

    • Awards: 

      • Won 1st place in the 3D single molecule localization microscopy category at the Swiss SMLMS Challenge (EPFL).

    • Published Research:

      • Cohen E. A. K., Kim D., Ober R.J, “Cramer-Rao Lower Bound for Point Based Image Registration with Heteroscedastic Error Model for Application in Single Molecule Microscopy,” IEEE Transactions on Medical Imaging 2015.

      • Ram S, Kim D, Ober RJ, Ward ES, “3D Single Molecule Tracking with Multifocal Plane Microscopy Reveals Rapid Intercellular Transferrin Transport at Epithelial Cell Barriers,“ Biophysical Journal 2012.

      • Kim, D., Chao, J., Velmurugan, R., You, S., Ward, E. S., and Ober, R. J., “Remote Focusing Multifocal Plane Microscopy for the Imaging of 3D Single Molecule Dynamics with Cellular Context,“ Proceedings of the SPIE, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIV, 10070: 2017.

      • Kim D, You S, Ward E.S., Ober R.J, “Imaging of three-dimensional single molecule dynamics with cellular context: Antibody trafficking and interaction with cell membrane and sorting endosomes,“ ASCB, San Francisco, CA. 2016.

    • Patents Registered:

      • Kim D., Ober R.J, “Advanced multi-dimensional microscopy system for single particle & structure imaging,” U.S. Patent, 2017.

Skills

Technical Skills:

  • Programming Languages: Proficient in Python, MATLAB, C++, and JavaScript, enabling the development of complex algorithms and software solutions.

  • AI & Machine Learning Technologies: Extensive experience with TensorFlow, PyTorch, CUDA, and NVIDIA GPUs. Expert in Machine Learning, Deep Learning, Generative AI, Stable Diffusion, and Large Language Models, demonstrating a deep understanding of the latest AI technologies and methodologies.

  • Infrastructure & DevOps: Skilled in designing and constructing AI service infrastructures using Kubernetes, cloud technologies (Azure, GCP, AWS, NCP), and Terraform. Proficient in DevOps practices with Jenkins, GitLab, MLFlow, and ArgoCD, ensuring efficient deployment and scalability of AI applications.

  • Data Engineering: Comprehensive knowledge in data lake architecture, employing Delta Lake, Spark, Hadoop, Airflow, and Kafka. Experienced in leveraging various Business Intelligence tools for data analysis and insights.

Leadership & Management Skills:

  • Project Leadership: Demonstrated leadership in guiding interdisciplinary teams towards the successful completion of AI projects. Proven track record in spearheading innovative AI initiatives and pioneering the application of generative AI technologies in the financial sector.

  • Strategic Planning & Execution: Adept at strategic planning and execution of complex projects, including the design and development of AI models and infrastructure. Skilled in conducting Proof of Concept (PoC) projects towards commercialization, showcasing the ability to bring innovative ideas from concept to reality.

  • Team Collaboration & Communication: Excellent communication and presentation skills, coupled with the ability to foster a collaborative team environment. Experienced in cross-disciplinary collaboration, working effectively with teams from diverse technical backgrounds.

Soft Skills:

  • Problem-Solving: Strong analytical and problem-solving abilities, capable of addressing complex challenges with innovative solutions.

  • Adaptability & Continuous Learning: Committed to continuous learning and adaptation to new technologies and methodologies in the rapidly evolving field of AI.

  • Research & Development: Proficient in testing new technologies, conducting research, and authoring papers and patents, contributing to the advancement of knowledge in AI and machine learning.

Languages

  • Korean: Native proficiency. Fluent in all aspects of communication and cultural nuances, with extensive professional experience in Korean-speaking environments.

  • English: Full professional proficiency. Acquired advanced education (Undergraduate and Ph.D.) in the United States, ensuring a strong foundation in English for professional contexts. Although recent professional experiences have predominantly been in Korean, retains full capability for work-related communication in English without barriers.

Awards

  • Excellent Paper Award at the Korean Intelligent Information Systems Society Fall Conference, Korean Intelligent Information Systems Society, 2022For: Deep Learning OCR based document processing platform and its application in financial domain.

  • 1st Place in IEEE ICDAR SROIE Text Localization Task, IEEE, 2020

  • 1st Place in IEEE ICDAR SROIE Text Recognition Task, IEEE, 2020

  • 1st Place in Shark Tank Competition at The 22nd International Conference on Miniaturized Systems for Chemistry and Life Sciences, International Conference on Miniaturized Systems for Chemistry and Life Sciences, 2018

  • 1st Place in 3D Single Molecule Localization Microscopy at the SMLMS Challenge, Swiss Federal Institute of Technology Lausanne (EPFL), 2016

  • Research Scholarship, Texas A&M University, USA, 2014 - 2016

  • Research Scholarship, The University of Texas at Dallas, USA, 2011 - 2012

  • 2nd Place, Senior Design Project, The University of Texas at Dallas, USA, 2011

  • Undergraduate Scholarship, The University of Texas at Dallas, USA, 2010 - 2012

Patents

  • Kim, D.; Kim, D.H.; Son, H. Financial-Domain Generative AI Security Solutions. Korean Patent Application, 2023.

  • Kim, D.; Kim, D.H.; Son, H. Financial-Specific Generative AI Long- and Short-Term Memory Solutions. Korean Patent Application, 2023.

  • Kim, D.; Kim, D.H.; Son, H. Generative AI Real-Time Information Solutions. Korean Patent Application, 2023.

  • Kim, D.; Son, D.; Son, H.; Shin, Y.; Kim, D.H.; Kwak, M. Financial Domain-Specific Image Data Augmentation System Through Deep Learning Image Conversion Technique. Korean Patent Application, 10-2023-0059725, 2023.

  • Kim, D.; Shin, Y.; Son, H.; Kim, D.H.; Kwak, M. Artificial Intelligence Financial Document Information Extraction System. Korean Patent Application, 10-2023-0054009, 2023.

  • Kim, D.; Kim, D.H.; Kwak, M. Automated System and Method for Checking CDD (Customer Due Diligence) Using Deep Learning-Based Optical Character Recognition Technique. Korean Patent Application, 10-2023-0000066, 2023.

  • Kim, D.; Kwak, M.; Won, E. Method for Managing Training Data for Optical Character Recognition. Korean Patent Registration 1024861050000, 2022.

  • Kim, D.; Kwak, M.; Nam, J. Method for Interpreting Unstructured Data Based on Artificial Intelligence. Korean Patent Registration 1024576500000, 2022.

  • Kim, D.; Kwak, M.; Won, E.; Shin, S. Method for Making High Quality of Optical Image Data Based on Artificial Intelligence. Korean Patent Registration 1024182080000, 2022.

  • Kim, D.; Min, Y.; Cho, Y. Generating Method for Specialized Microscope Images Using Artificial Neural Network and Image Processing Apparatus. Korean Patent Registration 1020846820000, 2020.

  • Kim, D.; Min, Y.; Cho, Y. Analysing Method for Cell Image Using Artificial Neural Network and Image Processing Apparatus for Cell Image. Korean Patent Registration 1020846830000, 2020.

  • Kim, D.; Isaac, M.; Ki, D.; Cho, Y. Centrifugal Force Based Non-Powered Particle Concentration Apparatus and Method of Particle Concentration. Korean Patent Registration 1021037840000, 2020.

  • Kim, D.; Kim, C.; Ki, D.; Cho, Y. Centrifugal Force Based Platelet Isolation and Testing System. Korean Patent Registration 1020638650000, 2020.

  • Kim, D.; Ober, R.J. Advanced Multi-Dimensional Microscopy System for Single Particle & Structure Imaging. U.S. Patent, 2017.

Lectures

  • Generative AI Architecture for SA, TA, AA and DA, IT Architecture Council, KB Finance Group, 2023.

  • Introduction to Transformers and time-series analysis, SK C&C, 2023

  • AI-Powered Document Processing Engine for Finance Applications, Finance AI Council, KB Finance Group, 2023.

  • Onboarding To Finance AI for Document Processing, KB Kookmin Bank, 2022 - 2023 

  • BME21101 Introduction to biomedical engineering (Introduction to artificial intelligence for biomedical engineering / Introduction to deep learning), Ulsan National Institute of Science and Technology (UNIST), 2019.

Publications

  • Kim, D., Kim, DH., Kwak, M., … Choi, D., Deep Learning OCR based document processing platform and its application in financial domain. Journal of Intelligence and Information Systems. 2023.

  • Kim, D., Kwak, M., Won, E., Shin, S., & Nam, J. TLGAN: document Text Localization using Generative Adversarial Nets. Arxiv 2010.1154, 2020. 

  • Kim, D., Woo, H.-K., Lee, C., Min, Y., Kumar, S., Sunkara, V., … Cho, Y.-K.. EV-Ident: Identifying Tumor-Specific Extracellular Vesicles by Size Fractionation and Single-Vesicle Analysis. Analytical Chemistry, 92(8), 6010–6018, 2020. 

  • Kim, D., Michael, I., Gulenko, O., Kumar, S., Kumar, S., Clara, J., … Cho, Y.-K.. A fidget spinner for the point-of-care diagnosis of urinary tract infection. Nature Biomedical Engineering, 2020. 

  • Kim, D., Min, Y., Oh, J.M. et al. AI-powered transmitted light microscopy for functional analysis of live cells. Sci Rep 9, 18428, 2019. 

  • Sunkara, V., Kim C., Park J., Woo H., Kim D., Ha H., Kim M., Son Y., Kim J., Cho Y., Fully automated, label-free isolation of extracellular vesicles from whole blood for cancer diagnosis and monitoring. Theranostics, 2019. 

  • Michael I., Kumar S., Oh J,, Kim, D., Kim J., Cho Y. Surface Engineered Paper Hanging Drop Chip for 3D Spheroid Culture and Analysis. ACS applied materials & interfaces, 2018. 

  • Li, R., Chiguru, S., Li, L., Kim, D., Velmurugan, R., Kim, DY., Tian, H., Schroit, A., Mason, R., Ober, R. J. and Ward, E. S. Targeting phosphatidylserine with calcium-dependent protein-drug conjugates for the treatment of cancer. Molecular Cancer Therapeutics, 2018. 

  • Devanaboyina, S. C., Khare, P., Challa, Kim, D., Ober, R. J., and Ward, E. S. Engineered clearing agents for the selective depletion of antigen-specific antibodies. Nature Communications, 2017. 

  • Kim, D., Chao, J., Velmurugan, R., You, S., Ward, E. S., and Ober, R. J. Remote focusing multifocal plane microscopy for the imaging of 3D single molecule dynamics with cellular context. Proceedings of the SPIE, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIV, 10070: 2017. 

  • Vahid, M. R., Chao, J., Kim, D., Ward, E. S., and Ober, R. J. State space approach to single molecule localization in fluorescence microscopy. Biomedical Optics Express, 2017 

  • Poovasery J.S., Kang J.C., Kim D., Ober R.J, Ward E.S. Antibody targeting of HER2/HER3 signaling overcomes heregulin-induced resistance to PI3K inhibition in prostate cancer. International Journal of Cancer 2017 

  • Kim D, You S, Ward E.S., Ober R.J, Imaging of three-dimensional single molecule dynamics with cellular context: Antibody trafficking and interaction with cell membrane and sorting endosomes. ASCB, San Fransisco, CA. 2016. 

  • Cohen E. A. K.,. Kim D., Ober R.J, Cramer-Rao Lower Bound for Point Based Image Registration with Heteroscedastic Error Model for Application in Single Molecule Microscopy. IEEE Transactions on Medical Imaging 2015 

  • Ram S, Kim D, Ober RJ, Ward ES. The level of HER2 expression is a predictor of antibody- HER2 trafficking behavior in cancer cells. mAbs 2014 

  • Devanaboyina SC, Lynch SM, Ober RJ, Ram S, Kim D, Puig-Canto A, Breen S, Kasturirangan S, Fowler S, Peng L, et al. The effect of pH dependence of antibody-antigen interactions on subcellular trafficking dynamics. mAbs 2013 

  • Ram S, Kim D, Ober RJ, Ward ES. Microscopy in Polarized Epithelia Reveals a Novel Cellular Process of Intercellular Transfer. Biophysical Journal 2013 

  • Ram S, Kim D, Ober RJ, Ward ES. 3D Single Molecule Tracking with Multifocal Plane Microscopy Reveals Rapid Intercellular Transferrin Transport at Epithelial Cell Barriers. Biophysical Journal 2012 

  • Kim D, Ram S, Ober RJ, Ward ES. 3D single molecule tracking of rapid intracellular trafficking imaged by multifocal plane microscopy, Microscopy and Microanalysis 2012.