https://www.rajaramlab.org/home daily 1.0 2026-04-03 https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/1510723303109-Q0DMHW7H19030EUK4TQS/mouse_colon_ms1.png Rajaram Lab @UTSW: Machine Learning Tissue Organization https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/1512668323470-36NRLJ1I46E6YLYW29AK/e4-lecture.jpg Rajaram Lab @UTSW: Machine Learning Tissue Organization https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/1645031396817-IQ2VHLZVKUA3AAWBUDIY/AD_AT8_48643_2.jpg Rajaram Lab @UTSW: Machine Learning Tissue Organization https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/1678489137774-TKMIL03DTHSRB53HMKLP/Screen%2BShot%2B2023-03-10%2Bat%2B4.45.40%2BPM.jpg Rajaram Lab @UTSW: Machine Learning Tissue Organization https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/1512664769272-7HK9JIGTAJJUOY920COR/lab_logo.png Rajaram Lab @UTSW: Machine Learning Tissue Organization https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/1512590812367-LBLEJATFA8FAKNAM2EPW/master-logo-reversed-white.png Rajaram Lab @UTSW: Machine Learning Tissue Organization https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/1511758332733-5O02RY81PDC2NAW1PE48/workflow.png Rajaram Lab @UTSW: Machine Learning Tissue Organization https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/1579651680220-ROZH9UKV1RPM9CL463QB/DSC00507.JPG Rajaram Lab @UTSW: Machine Learning Tissue Organization - Satwik Rajaram Assistant Professor Satwik's formal training is in theoretical physics. His switch to biology occured during his Ph.D (at the University of Illinois at Urbana Champaign) as he developed statistical-physics-inspired approaches to help humans comprehend high-dimensional biological data. Satwik's post-doctoral research in the joint labs of Drs. Altschuler and Wu (at UTSW and then at UCSF) explored the implications of cellular heterogeneity, primarily through quantitative microscopy. He developed machine learning approaches that automatically identified relevant image phenotypes - sometimes invisible to the human eye - and accurately profiled heterogeneous cellular populations. His work also explored the associated experimental design questions, such as how few cells are needed to represent a population's heterogeneity reliably. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/d365778b-1864-42e5-b0aa-eee9b03f5ef5/DSC02630.JPG Rajaram Lab @UTSW: Machine Learning Tissue Organization - Thuong Nguyen Postdoctoral Researcher Thuong completed her Ph.D degree in Mathematics at the University of Utah. Her research in the graduate program focused on developing adaptive central-upwind methods for shallow water models. She has been fascinated by computational methods, modelling, and machine learning. As a dual affiliate with the Danuser lab, she is working on interpretable models to explain the reasoning behind the decision-making ability of machine learning models, like feature importance and accumulated local effects. The understanding of such factors contributing to likely outcomes will then help to make changes to processes. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/4194b851-ef9c-470a-a2be-0dfce2718eba/IMG_3742.jpg Rajaram Lab @UTSW: Machine Learning Tissue Organization - Xue Bai Postdoctoral Researcher Xue received her Ph.D. in Mathematics from West Virginia University, where she specialized in statistical modeling and deterministic modeling for time-series forecasting, as well as deep learning-based keypoints prediction in video motion transfer. She is currently focused on enhancing a multimodal cancer survival risk prediction network and applying deep learning techniques to classify architectural patterns commonly observed in clear cell renal cell carcinoma. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/5ee09220-885d-4107-b8f8-47fd66bc5828/IMG_0052.jpg Rajaram Lab @UTSW: Machine Learning Tissue Organization - Dushyant Mehra Postdoctoral Researcher Dushyant completed his Ph.D. degree in Biomedical Engineering from the Mayo Clinic. His research focused on developing genomic, computational, and optical tools to monitor both chromatin structure and dynamics in living cells to study how chromatin configurations affect cellular behavior. Currently, he is working on developing computational approaches to analyze 3D histopathology samples. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/ab1831f2-0043-4913-8ef0-4a3dd9abf2be/DSC02183.JPG Rajaram Lab @UTSW: Machine Learning Tissue Organization - Aleksandra Nielsen Graduate Student Aleks received her bachelor's degree in Biotechnology, and subsequent master's degree in Bioinformatics, at Wroclaw University of Science and Technology in Poland. Her experience in computational design of small proteins allowed her to obtain the BioLAB Scholarship from the Polish-American Fulbright Commission and work abroad at UT Southwestern. Her work there led to a decision to continue graduate research at the university. Aleks' research focuses on morphology and genetics guided tumor evolution. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/dffca727-61f6-4d54-adde-3b378d990b12/pro-XO4ruiSO+%281%29.jpg Rajaram Lab @UTSW: Machine Learning Tissue Organization - Sriya Veerapaneni Graduate Student Sriya obtained her integrated bachelor’s and master’s degree in Biological Sciences from the Indian Institute of Technology, Madras, India. Her research experiences have spanned various fields, including neuroscience and cancer biology. In her previous work, she investigated the relationships between reactive species and metabolism in colorectal cancer. Currently, Sriya is concentrating on utilizing deep learning techniques to analyze histopathological and multiplexed images in the study of rectal cancer. Her goal is to leverage tissue morphology information to advance our understanding of rectal cancer pathology. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/1579136297225-9WP743F0MWNM4K3YRGPW/Edited+451+--+Lab+website.png Rajaram Lab @UTSW: Machine Learning Tissue Organization - Vipul Jarmale Data Scientist Vipul obtained his master's degree in Computer Science with focus on Data Science in May 2018. He is currently involved in designing and optimizing deep learning pipelines. His responsibilities also include building tools to facilitate data generation and visualization. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/1632411922133-RXBDT991QJ4H11ED0BG7/DSC01998+%281%29.JPG Rajaram Lab @UTSW: Machine Learning Tissue Organization - Hua Zhong Computational Biologist Hua received his master’s and Ph.D. degrees in Computer Science at New Mexico State University. His research focuses were algorithm development and applications on inference of molecular biomarkers, interactions and networks. He also worked extensively on Next-generation sequencing data downstream analysis for candidates of biological discoveries. Hua currently works on the processing and analytical pipelines for exploring big cohorts of NGS genomic data, aiming at biological discoveries of underlying molecular mechanisms related to tumor. More specifically, he analyzes NGS data of human kidney cancer and studies relationship among genomics, morphology, clinical and pathological features. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/564a8ac2-8c99-4a89-bb32-6597b49f6e93/DSC02399.jpg Rajaram Lab @UTSW: Machine Learning Tissue Organization - Averi Perny Research Assistant Averi has a bachelor’s degree is Mathematics from University of Texas at Dallas. She joined the lab as part of the UTD Green Fellowship, working on developing better tumor grade classification models. She is currently working on improving cell classification in kidney cancer using deep learning. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/144ac732-d921-4ca5-9058-d96a6736e9c6/LabImage.jpg Rajaram Lab @UTSW: Machine Learning Tissue Organization - Lab Alumni Jay Jasti Data Scientist (2018-2025) - Retirement ️ Paul Acosta Graduate Student (2018-2024) - Data Scientist (MD Anderson Cancer Center) Anthony Vega Postdoctoral Researcher (2019-2023) - Sr. Bio-Image Analyst (Scionics & Max Planck Institute of Molecular Cell Biology and Genetics) Hafez Eslami Mannocheri Gradate Student (2018-2021) - Sr. Deep Learning & Computer Vision Scientist (Leica Biosystems) Vandana Panwar Research Scientist (2018-2021) - Pathology Resident (UT Southwestern) https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/d120998c-8d51-4229-a8f6-95107b04933a/Kidney_Test.jpg Rajaram Lab @UTSW: Machine Learning Tissue Organization - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/3340f0f7-2f3b-4056-9657-18aa7375eef3/Neuro_TestZoom.png Rajaram Lab @UTSW: Machine Learning Tissue Organization https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/75770f15-e5ca-4849-87d5-f047095d467e/Screenshot+2023-08-04+at+2.04.43+PM.png Rajaram Lab @UTSW: Machine Learning Tissue Organization - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/14a56a34-4774-45b5-b340-e8306b79f5e1/full_anim.gif Rajaram Lab @UTSW: Machine Learning Tissue Organization - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://www.rajaramlab.org/publications daily 0.75 2025-09-19 https://www.rajaramlab.org/software-1 daily 0.75 2025-02-12 https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/49a4f0d2-067e-4d30-b200-fae67b0e3fbc/phenoripper_logo.jpg Software https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/5f9beb32-1634-4412-83d1-546c3a34d2b7/images.jpeg Software https://www.rajaramlab.org/jobs daily 0.75 2025-02-12 https://www.rajaramlab.org/news daily 0.75 2025-09-19 https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/749adf61-2d9d-4f70-bffe-44e03cb966e6/Screenshot+2025-09-19+at+10.54.03%E2%80%AFAM.png News - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/6205aa7d-d726-45d8-93d5-654e1868edc5/Screenshot+2025-03-17+at+12.48.11%E2%80%AFPM.png News - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/b69dc97e-0903-4311-b077-c63d127359ff/IMG_3742.jpg News - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/f5f2ef50-d8fa-47f6-93a5-712a36f4d438/pro-XO4ruiSO+%281%29.jpg News - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/b64e7ebf-721a-4862-84a5-f24a8d1c2b05/DSC02629.JPG News - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/d3bf8c81-27a0-4817-b5cd-dc2c0d3e24bb/PaulPaper.jpeg News - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/bafc3311-4f7c-4e17-9607-201f03312608/PXL_20220505_200130324.jpg News - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/fec9303d-b335-45bb-b40e-18c459635590/CPRIT.jpg News - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/35815dd7-8243-4565-ab06-40c51bc2ff6a/AleksAveri.png News https://images.squarespace-cdn.com/content/v1/59f254cbb0786984fe63e094/5395fefa-7e26-4764-b3f1-467ddb1a2bda/WM.jpg News