Cornell University, Ithaca, NY, USA
School of Chemical and Biomolecular Engineering
Ph.D. in Chemical Engineering (Feb. 2010)
M.S. in Chemical Engineering (Mar. 2008)
Seoul National University, Seoul, Korea
School of Chemical and Biological Engineering
B.S. cum laude in Chemical Engineering (Mar. 1997 – Feb. 2004)
Mar. 2017 – Present
- Principal Researcher, Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST)
Jan. 2012 – Feb. 2017
- Senior Researcher, Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST)
Jun. 2010 – Dec. 2011
- Presidential Postdoctoral Fellow, Hit Discovery Group, Center for Proteomic Chemistry, Lead Finding Platform, Novartis Institutes for Biomedical Research (NIBR), Cambridge, MA, USA
- Research Affiliate (Postdoctoral Fellow), Department of Chemical Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
Jan. 2010 – May 2010
- Postdoctoral Associate, School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, USA
Aug. 2004 – Dec. 2009
- Research Assistant/Teaching Assistant, School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, USA
- Integrated Neural Interface
– Optoelectronic Neural Interface
• Lens-free Implantable Fluorescence Imaging Device
• Custom CIS (SPAD, APD) IC for Light-field Imaging
• μLED and SPAD array on CMOS for in-vivo Fluorescence Imaging on Awake or Freely
- Behaving Animal
• Low-power Wireless Data and Power Connectivity for IMD
– Mixed signal IC design for Low Power IMD
B.S.Chemical & Biological Engineering, Korea University (2015)
- Hydrogel-based bioassay
B.S. Food Science and Technology, Seoul National University of Science and Technology (2015)
- 3D in vitro culture platform for reconstructtion of neural circuit
B.S. Chemical & Biological Engineering, Korea University (2016)
- Hydrogel-based bioassay
B.S. Mechanical Engineering, Korea University (2018)
- 3D in vitro culture platforms
B.S. Biological faculty, Belarusian State University (2017)
- Hydrogel-based bioassay
B.S. Chemical & Biological Engineering, Korea University (2014)
- Hydrogel-based bioassay
M.Res./Ph.D., Neuroscience, University College London and National Institutes of Health
Undergraduate, Biochemistry, Grand Valley State University
In native tissues, cellular and acellular components are anisotropically organized and often aligned in specific directions, providing structural and mechanical properties for actuating biological functions. Thus, engineering alignment not only allows for emulation of native tissue structures but might also enable implementation of specific functionalities. However, achieving desired alignment is challenging, especially in three-dimensional constructs. By exploiting the elastomeric property of polydimethylsiloxane and fibrillogenesis kinetics of collagen, here we introduce a simple yet effective method to assemble and align fibrous structures in a multi-modular three-dimensional conglomerate. Applying this method, we have reconstructed the CA3–CA1 hippocampal neural circuit three-dimensionally in a monolithic gel, in which CA3 neurons extend parallel axons to and synapse with CA1 neurons. Furthermore, we show that alignment of the fibrous scaffold facilitates the establishment of functional connectivity. This method can be applied for reconstructing other neural circuits or tissue units where anisotropic organization in a multi-modular structure is desired.
The array-based detection of modified histones, conventionally used for multiplexed analysis of epigenetic changes, requires pooling of samples from many subjects to analyze population-wise differences in the expression of histone markers and does not permit individualized analysis. We report multiplexed detection of genome-wide changes in various histone modifications at a single-residue resolution using quantum dot (QD)-encoded polyethylene glycol diacrylate (PEGDA) hydrogel microparticles.
Quantitative polymerase chain reaction (qPCR) renders profiling of genes of interest less time-consuming and cost-effective. Recently, multiplex profiling of miRNAs has enabled identifying or investigating predominant miRNAs for various diseases such as cancers and neurodegenerative diseases. Conventional multiplex qPCR technologies mostly use colorimetric measurements in solution phase, yet not only suffer from limited multi- plexing capacity but also require target-screening processes due to non-specific binding between targets and primers. We present hydrogel micropost-based qPCR for multiplex detection of miRNAs associated with Alzheimer’s disease (AD). Our methodology promises two key advantages compared with the conventional so- lution-based PCR: 1) nearly no non-specific crosstalks between targets and primers, and 2) practically valuable multiplexing by spatial encoding within a single microchamber. Specifically, we immobilized hydrogel micro- posts (~ 400 μm in diameter) within commercially available polycarbonate PCR chips by multi-step ultraviolet (UV, 365 nm) exposure.
-  H Yüksel, D Yang, Z Boynton, C Lee, T Tapen, A Molnar, A Apsel (2017). A wideband fully integrated software-defined transceiver for FDD and TDD operation. IEEE Journal of Solid-State Circuits 52 (5), 1274-1285.
-  C Lee, B Johnson, T Jung, A Molnar (2016). A 72 × 60 Angle-Sensitive SPAD Imaging Array for Lens-less FLIM. Sensors 16 (9), 1422.
-  Dong Yang, Hazal Yüksel, Christopher Newman, Changhyuk Lee, Zachariah Boynton, Noman Paya, Miles Pedrone, Alyssa Apsel, Alyosha Molnar (2016). A fully integrated software-defined FDD transceiver tunable from 0.3-to-1.6 GHz. Radio Frequency Integrated Circuits Symposium (RFIC), 2016 IEEE.
-  J Hone, A Molnar, C Lee, SW Lee (2016). Graphene resonator based mixer-first receiver on CMOS for digitally controlled and widely tunable RF interface. US Patent 9,344,127
-  S Sivaramakrishnan, C Lee, B Johnson, A Molnar (2016). A Polar Symmetric CMOS Image Sensor for Rotation Invariant Measurement. IEEE Sensors Journal 16 (5), 1190-1199.
-  C Lee, W Chao, S Lee, J Hone, A Molnar, SH Hong (2015). A low-power edge detection image sensor based on parallel digital pulse computation. IEEE Transactions on Circuits and Systems II: Express Briefs 62 (11), 1043-1047.
-  C Lee, B Johnson, A Molnar (2015). Angle sensitive single photon avalanche diode. Applied Physics Letters 106 (23), 231105.
-  C Lee, B Johnson, A Molnar (2014). An on-chip 72× 60 angle-sensitive single photon image sensor array for lens-less time-resolved 3-D fluorescence lifetime imaging. VLSI Circuits Digest of Technical Papers, 2014 Symposium on, 1-2.
-  V Vinogradov, J Ha, C Lee, A Molnar, SH Hong (2014). Dynamic ternary CAM for hardware search engine. Electronics Letters 50 (4), 256-258.
-  B Johnson, C Lee, S Sivaramakrishnan, A Molnar (2013). A high-speed polar-symmetric imager for real-time calibration of rotational inertial sensors. SENSORS, 2013 IEEE, 1-4.
-  C Lee, B Johnson, A Molnar (2013). A sub-threshold voltage ladder rectifier for orthogonal current-reuse neural amplifier. Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE, 358-361.
-  C Andrews, C Lee, A Molnar (2012). Effects of LO harmonics and overlap shunting on N-phase passive mixer based receivers. ESSCIRC (ESSCIRC), 2012 Proceedings of the, 117-120.
-  PR Gill, C Lee, S Sivaramakrishnan, A Molnar (2012). Robustness of planar Fourier capture arrays to colour changes and lost pixels. Journal of Instrumentation 7 (01), C01061.
-  PR Gill, C Lee, DG Lee, A Wang, A Molnar (2011). A microscale camera using direct Fourier-domain scene capture. Optics letters 36 (15), 2949-2951.
-  C Lee, A Molnar (2011). Self-quenching, Forward-bias-reset for Single Photon Avalanche Detectors in 1.8 V, 0.18 µm process. Circuits and Systems (ISCAS), 2011 IEEE International Symposium on, 2217-2220.
We are a team dedicated acheiving the best in brain science research while providing an ideal environment for innovative thinking and career building skills. We are currently seeking exceptional candidates who share our passion to join our team. If you are interested in joining our Lab, please email firstname.lastname@example.org