Prof. Dr. Bens Pardamean
Prof. Dr. Bens Pardamean has over thirty years of global experience in information technology, bioinformatics, and education, including a strong background in database systems, computer networks, and quantitative research. His professional experience includes being a practitioner, researcher, consultant, entrepreneur, and lecturer. His current research interests are in developing and analyzing genetic data in cancer studies and genome-wide association studies (GWAS) for agriculture genetic research. After successfully leading the Bioinformatics Research Interest Group, he currently holds a dual appointment as the Director of the Bioinformatics & Data Science Research Center (BDSRC) and as a Professor of Computer Science at the University of Bina Nusantara (BINUS) in Jakarta, Indonesia. He earned a doctoral degree in informative research from the University of Southern California (USC), as well as a master’s degree in computer education and a bachelor’s degree in computer science from California State University, Los Angeles.
Joko P. Trinugroho, Ph.D
Joko has experience in laboratory work as he earned his bachelor’s and master’s degree in the School of Life Sciences, Institut Teknologi Bandung. Then, Joko obtained his Ph.D. from Life Sciences Department, Imperial College London, UK. His research focuses on biochemistry and biotechnology. After finishing his Ph.D., Joko worked as a Research Associate at Imperial College London. Here, he was involved in the research about comparative genomics in Cyanobacteria. This has escalated his interest in Bioinformatics, especially in genomics research.
Andrea Stevens Karnyoto, Ph.D.
Andrea earned his Bachelor’s degree from STMIK Dipanegara, a Master’s degree from Hasanuddin University, and Ph.D. from Harbin Institute of Technology. His Ph.D. studies focused on natural language processing, including Large Language Modeling (LLM), the latest transformers architecture, topic-based methods, and graph neural networks. Aside from working in Artificial Intelligence (AI), he has a web and desktop programming background. During his career in computer science, he created many information systems for various organizations. In addition, he has received two grants for research and two for community service from the Ministry of Education, Culture, Research, and Technology.
Anzaludin Samsinga Perbangsa, S.Kom., M.MSI.
Section Head and Researcher
Arif Budiarto, S.Kom., M.Sc.
Arif Budiarto is a technology enthusiast. He has work experiences ranging from system implementer to UX researcher at several IT companies. He also had a great opportunity to join the summer internship program at the Royal Bank of Scotland (RBS) as a business and technology analyst. His expertise areas include the Internet of Things (IoT) and Human-Computer Interaction (HCI). His current research interest is how to design from, with, and by data. He aims to combine his expertise in IoT with the advantage of data science to solve multidisciplinary real-life problems. He previously studied computer science at Bina Nusantara University for his bachelor’s degree and earned an MSc with distinction in Advanced Design Informatics at the University of Edinburgh.
Reza Rahutomo, S.Kom., M.MSI.
Reza earned both his Bachelor’s and Master of Information System from Binus University. He worked in Japan for an AI developer company as Technology Development Consultant until he came back to Indonesia to apply his AI and data science experience and knowledge. Besides machine learning, his expertise and curiosity covered data engineering, time series analysis, and public speaking as well. Starting from 2020, he becomes a faculty member of the School of Information System and teaches database systems and data warehouses regularly.
Alam Ahmad Hidayat, S.Si., M.Sc.
Alam has experience in Artificial Intelligence (AI), as well as applied statistics, including biostatistics. He obtained his bachelor’s degree from Institut Teknologi Bandung, specializing in theoretical physics. Later, Alam earned a master’s degree in physics from the University of Bonn and developed an interest in data analysis through his final project that explores the use of Bayesian analysis to analyze data in hadron physics. Currently, his main interest is in the application of deep learning (neural networks) in various tasks that include sound and image recognition and analyzing biological data. Furthermore, he is also actively participating with all bioinformatics projects in BDSRC to help in statistical data analysis.
Gregorius Natanael Elwirehardja, S.Kom., M.Kom.
As a Master’s degree student from Bina Nusantara University, Gregorius Natanael Elwirehardja has been involved in various deep learning research. He obtained his Bachelor’s degree in computer science from Bina Nusantara University where he first explored the fields of artificial intelligence. His main research interest includes the implementations of machine learning in various fields, including computer vision, Natural Language Processing (NLP), and many others, especially in the fields of psychology. Since October 2021, he has participated in studies involving AI in BDSRC such as crowd counting and pap smear.
Faisal Asadi, S.T., M.Sc.
Faisal obtained his bachelor’s degree (S.T.) from Informatics Engineering State Islamic University of Sultan Syarif Kasim Riau in 2017. He completed his master’s degree program (M.Sc.) in the department of the electrical engineering Ming-Chi University of Technology in 2020. His expertise in artificial intelligence in biomedical science starts with his education level research. His research interests are in data science, machine learning, deep learning, and biomedical science. His previous work in the medical technology cluster was with the Indonesian Medical Education and Research Institute – Faculty of Medicine Universitas Indonesia (IMERI-FMUI).
Rudi Nirwantono, S.Si., M.Sc.
Rudi Nirwantono is molecular biology and biomedical science enthusiast. He is highly interested in the genetics and molecular aspects of communicable diseases, especially Arthropod-borne diseases. His working experiences include genomics, transcriptomics, and proteomics research at private and government institutions. He has expertise ranging from genetics recombination, protein heterologous overexpression, real-time PCR, sequence analysis, protein modeling, and protein docking. He previously studied biology at Universitas Gadjah Mada for his bachelor’s degree and earned an M.Sc. with first-class honors in Molecular Biology at the University of Queensland.
Mahmud Isnan, S.Kom., M.Eng.
Mahmud received a Bachelor of Computer Science in information systems from STMIK Indonesia Padang, Indonesia. He earned a master’s degree in Artificial Intelligence and the Internet of Things from a joint degree program between the National Science and Technology Development Agency (NSTDA), Tokyo Institute of Technology, and Sirindhorn International Institute of Technology (SIIT), Thammasat University (TU) under the TAIST Tokyo Tech Program. In his thesis, he worked on mapping poverty using machine learning, satellite imagery, and geospatial data. His recent research interests include remote sensing, machine learning, image processing, and natural language processing. Currently, he joined BDSRC to work on AI research, especially in image processing and remote sensing.
Faiz Ayyas Munawwar, S.IP.
Faiz Ayyas Munawwar is a political science graduate from the University of Brawijaya. Being involved in some press and media agencies in Malang and Jakarta, he has considerable experience in social media & website management, graphic design, and journalistic. Faiz has an interest in producing infographics based on research data.
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Teddy Suparyanto, S.Pd., M.TI.
Research Coordinator (Yogyakarta)
Teddy Suparyanto has a deep understanding of developing and managing IT systems in the educational and agro-industry sectors. He currently holds an appointment as a Research Associate at Bioinformatics & Data Science Research Center (BDSRC) | AI Research & Development Center (AIRDC) and as a Lecturer of agricultural informatics engineering at STIPER Agricultural University in Yogyakarta, Indonesia. Graduated from the mathematics teacher education faculty, he has an educational background in mathematics, teaching skills, educational psychology, pedagogy philosophy, teaching strategy, and learning media. His expertise in statistics is very helpful in the data analysis process. He completed his master’s degree program in information technology at Bina Nusantara University.
Research Assistant (Makassar)
Akram Irwan holds a bachelor’s degree in public health from Tamalatea School of Health in Makassar with a focus in epidemiology and biostatistics. His experience in health research started with research on colorectal cancer with Hasanuddin University and Mochtar Riady Institute of Nanotechnology (MRIN). Currently, he continues to involve in colorectal cancer research and to collect image and clinical data for pap smear and histopathology studies.
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James W. Baurley, Ph.D.
Dr. James W. Baurley has ten years of experience developing software for data-intensive applications. His current research interests and expertise are in developing computational methods to investigate the interplay of genetic and environmental factors in complex diseases, such as nicotine dependence, asthma, and cancer. Previously, he was a computer scientist at the University of Southern California, where he developed computational and statistical methods applicable to genome-wide data and investigated the role of genes in childhood asthma. He earned a bachelor’s degree in computer science from Clemson University, as well as a master’s degree in biostatistics and a Ph.D. in statistical genetics and genetic epidemiology from the University of Southern California. He currently is adjunct faculty and bioinformatics research consultant at Bina Nusantara (BINUS) University and co-founder and principal data scientist at BioRealm LLC, a US-based research group developing a suite of tools that support the genetic understanding of, and treatments for health issues.
Christopher McMahan, Ph.D.
Dr. Christopher McMahan is currently an Associate Professor in the Department of Mathematical Sciences at Clemson University. He completed his Bachelor’s degree majoring in mathematics, minoring in physics, at Austin Peay State University, Clarksville, TN. He then earned a master’s degree in mathematics at Western Kentucky University, Bowling Green, Kentucky. He then completed a doctoral degree in statistics at the University of South Carolina, Columbia, SC. After completing his Ph.D., he joined Clemson University as an assistant professor, and he was recently promoted to the rank of associate. In addition to his teaching responsibilities, he also consults with Biorealm and serves as a Visiting Professor at BINUS University. His research interests include, but are not limited to, categorical data analysis, group testing, survival data analysis, nonparametric methods, measurement error models, Spatio-temporal modeling, statistical computing, Bayesian parametric/nonparametric estimation, high dimensional regression techniques, epidemiology/public health, and biomedical applications.
Carissa I. Pardamean, BSc., B.A., M.Sc., Ph.D.
Carissa Pardamean has experience in both laboratory work and retrospective clinical research. Her research as an undergraduate utilizes yeast experimental genetics techniques to decipher the genetic basis of neural tube defect and the mechanism of folate supplementation in neural tube defect prevention. Her most recent project investigates provider practices’ efficiency in managing thyroid disorders at Boston Children’s Hospital and Brigham & Women’s Hospital. Her primary research interest involves finding the cause and treatment method for complex diseases based on their genetic genesis. She is currently an associate researcher at BioRealm Research and Harvard University’s Longwood Medical Area − particularly at Boston Children’s Hospital. She is also a computational geneticist and scientific manuscript editor for Bina Nusantara University. She earned a master’s of science degree in biomedical sciences from Boston University, as well as a double bachelor’s degree in molecular & cell biology (genetics emphasis) and linguistics from the University of California, Berkeley. She is currently a doctoral candidate at the University of California, Los Angeles (UCLA) in medical and molecular pharmacology.
Rezzy Eko Caraka, S.Si., M.Sc., Ph.D.
Adjunct Senior Researcher
Obtained bachelor, master, and Ph.D. degrees from Universitas Diponegoro, The National University of Malaysia, and Chaoyang University in 2011,2018, and 2021, respectively. During the completion of Doctoral study, Rezzy Eko Caraka received Excellent Research Awards from the President of CYUT (2019 and 2020) due to outstanding performance in Ph.D. research. In September 2020, He starts the Post-Doctoral (Researcher) in Research for Basic Sciences, Lab Hierarchical Likelihood, Department of Statistics, Seoul National University. He was honored with numerous awards including the best paper of FREKS 2019 awarded by the Ministry of Finance Indonesia, and Financial Services Authority. Currently, He has authored more than 30 peer-reviewed papers and held 2 copyright. At the same time, He already published more than 10 statistics books including Geographically Weighted Regression, Spatial Data Panel, Introduction of GLM by using R, Advanced Bioinformatics by using R. He also co-founder STATCAL (www.statcal.com). His research interests include, but are not limited to, Statistics Geospatial, Bioinformatics, Statistics Ecological Biodiversity, and H-Likelihood. He passed technical training in intermediate-level data science by Deep Learning Institute NVIDIA and Bioinformatics BioREALM USA.
Ika Nurlaila, Ph.D.
Adjunct Senior Researcher
Ika Nurlaila is an alumnus of the School of Cancer Sciences, Department of Cancer Genomics at the University of Birmingham, UK. She was involved in a longitudinal study on malnutrition-susceptible children in South-Eastern Asian countries led by The School of Public Health where she grasped that eye-to-eye interviews across relevant stakeholders might provide a pivotal and direct link to the feasible solution. Before the doctoral program, she was a lecturer at the Dept of Biotechnology and Neurosciences, Faculty of Life Sciences, Surya University. Her cellular and molecular-related interests had been long nurtured since her undergraduate where her laboratory experiment called Quercetin Effects of Apoptosis and Proliferation in NDEA-induced Lung Cancer won a prize from LIPI (Indonesia Institute of Sciences) and in the same year, she secured a research grant by TPSDP/Asian Development Bank for the pertinent research. The interest grew since and she made it linearly into her most current degree where she also concentrated on the cellular aspect of immune responses.
Dr. Dedy Ariansyah S.T., M.T.
Adjunct Senior Researcher
Dr Dedy Ariansyah worked previously as a Research Fellow at Cranfield University under EPSRC-funded project DigiTOP where his research focused on: (1) how immersive technologies like Augmented Reality can improve industrial productivity and (2) Digital Twin development to support decision making. He is currently involved in AI research team where he focuses on the embedded AI in immersive technologies and knowledge capture to improve task productivity, increase the efficiency of knowledge transfer, and data-driven process optimization. Dedy’s Ph.D. was focused on the Virtual Reality Driving simulator for driver behavior analysis where he developed and integrated physiological data and driving performance to study different human cognitive operations when interacting with driver assistance systems.
Hery H. Mulyo, S.Kom., M.MSI.
Adjunct Research Associate
Hery H. Mulyo has more than 22 years of experience as lecturer and 8 years in research. His research expertise is in developing management information systems (MIS) of health institutions such as hospitals and clinics. His other roles for the Research Center are in establishing collaborations, drafting and creating contracts, and managing financial administration. He has obtained various grants such as competition grants, foreign collaboration and international publications grants, and national strategic grants from DIKTI. He earned a bachelor’s degree in Informatics Management, majoring in Computerized Accounting as well as a master’s degree in Information System from Bina Nusantara University.
Muhamad Fitra Kacamarga, S.Kom., M.TI.
Adjunct Research Associate
An innovative and knowledgeable network engineer and software developer with proven skills in installing, designing, and developing IT solutions. Fitra is proficient in network management tools and programming languages. His expertise includes cloud computing applications, big data processing, and the implementation of a variety of network devices. He is also a lecturer at Bina Nusantara University. His current research interest focus on developing tools for big data analysis and parallel programming especially in bioinformatics problems. He earned a Bachelor’s degree in Computer Science and a Master’s degree in Information Technology both from Bina Nusantara University.
Tjeng Wawan Cenggoro, S.Kom., M.TI.
Adjunct Research Associate
Tjeng Wawan Cenggoro is an AI researcher whose focus is on the development of Deep Learning algorithms for applications in Computer Vision, Natural Language Processing, and Bioinformatics. He has led several research projects that utilize Deep Learning for Computer Vision, which is applied to many cases such as indoor video analytics, plant phenotyping, and remote sensing. He has published over 40 peer-reviewed publications and reviewed for prestigious journals such as Scientific Reports and IEEE Access. He also holds 2 copyrights for AI-based video analytics software. He received his master’s degree in Information Technology from Bina Nusantara University as well as a bachelor’s degree in Information Technology from STMIK Widya Cipta Dharma. He is also a certified instructor at NVIDIA Deep Learning Institute.
Yulius, S.Kom., M.MSI.
Creative e-business and e-commerce developer with proven skills in designing and developing IT solutions. His expertise includes analyzing and collaborating to design and develop e-business/e-commerce strategies to support the achievement of the vision, mission, and objectives of the organization. Yulius develops customer-focused e-business/e-commerce solutions to follow global trends and accommodate the need for the best customer experience. He is also a lecturer at Bina Nusantara University. His current research interest focus on developing tools and strategies with IT solution to face global IT trends. Yulius also focus on the use of big data analysis at the data warehouse for big data analysis. He earned a Bachelor’s degree in Computer Science and a master’s degree in Information System Management both from Bina Nusantara University.
Bharuno Mahesworo, S.T., M.Sc.
After graduating from the University of Glasgow with Distinction for his Master’s Degree, Bharuno joined Bioinformatics and Data Science Research Center in 2018. With his background M.Sc. in Biomedical Engineering and B.Sc. in Electrical Engineering from Institut Teknologi Bandung, he has a wide knowledge of general engineering with a specialization in data analysis and control systems. With his specialization in machine learning and data science, Bharuno has helped the center in bioinformatics analysis and machine learning development. Currently, he is the person in charge of the protein post-translational modification analysis, including phosphorylation and methylation site prediction. Even more, Bharuno also teaches quantitative research implementation in R. Since joining this research center, Bharuno has also developed programming and AI development skill for images and sequence data. Currently, Bharuno is interested in AI development for the stock exchange, bioinformatics, and cancer research.
Kartika Purwandari, S.Kom., M.Sc.
Kartika has a lot of research experience focusing on Artificial Intelligence (AI). She earned a Bachelor’s degree in Informatics Engineering from Brawijaya University with an AI-based and image processing final project. This final project employed an Artificial Neural Network to identify the quality of patchouli leaves. Continuing her interest in machine learning and image processing, she finished her Master’s degree in Computer Science from National Central University Taiwan with joined in Machine Learning and Biometrics Recognition Laboratory. Currently, Kartika has developed programming based on AI and bioinformatics by joining the colorectal cancer project since she joined BDSRC. Furthermore, she is also active in participating in AI projects in BDSRC to help in processing data about lidar, air quality, crowd counting, fishery image, and pap smear.
Digdo Sudigyo, S.Si., M.Biotech.
Digdo Sudigyo has graduated with a master’s degree in biotechnology from Gadjah Mada University with a focus on health biotechnology. Digdo has an interest in the world of bioinformatics research, especially in genomics and cancer research. He has published a thesis regarding the transcriptome profiling of nasopharyngeal cancer using bioinformatics analysis. Currently, Digdo is involved in working on a bioinformatics research project at BDSRC, especially in the molecular and cancer fields.
Nicholas Dominic, S.Kom., M.TI.
Nicholas Dominic has collaborated with Bioinformatics and Data Science Research Center (BDSRC) and NVIDIA-BINUS Artificial Intelligence Research and Development Center for research in the fields of Deep Learning and Bioinformatics. His research interests and expertise include, but are not limited to, mathematics of deep learning, data science, computational intelligence, and applied machine learning for bioinformatics. He earned both bachelor’s and master’s degrees through the academic acceleration program at Bina Nusantara University. His undergraduate studies focused on Intelligent Systems, while his graduate studies focused on Data Science. His final thesis covers deep neural network-based polygenic modeling for predicting and identifying yield-associated genes in 467 Indonesian rice accessions. Currently, he conducts Single Nucleotide Polymorphism (SNP) related research, including its imputation techniques, information contents, latent representations, and further analysis such as Linkage Disequilibrium.
Adjunct System Engineer
Solution-oriented IT professional with proven success designing, documenting, implementing, and integrating cost-effective, high-performance technical solutions to meet challenging business needs. He has more than twelve years of experience in maintaining and managing advanced infrastructure using Windows Operating System, Linux Operating System, and virtualization solutions for servers such as VM Ware. Solid knowledge of LAN/WAN network administration, Windows Active Directory, mail server, database server, collaboration server, and file servers. Proven expertise in supporting and troubleshooting hardware, software, and networking issues. Organized, take-charge professional with exceptional follow-through abilities and detail orientation, able to plan and oversee projects from conception to successful conclusions. His current research interests and expertise are in researching, recommending, and implementing new hardware and software into the research environment to increase efficiency in handling big data. He earned a bachelor’s degree in civil engineering, majoring in construction from Diponegoro University. He also held outstanding certifications including Symantec Sales Expert (SSE) and Microsoft Certified Professional (MCP).
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Bloomest Jansen Chandra
Adjunct Research Assistant
Bloomest is currently an undergraduate student at the University of Wisconsin – Madison, WI USA majoring in Computer Science. As he has a keen interest in AI, he self-studied Deep Learning from online resources. He then started by joining the UW-Madison Artificial Intelligence Club as one of the modelers of the Stock Predicting Group. His main interest is in Computer Vision and Natural Language Processing.